Question #1
The interaction between UiPath Studio and the UiPath Robot Service performs which of the following functions?
- A . Process version control (git SVN etc.)
- B . Sends the heartbeat and logs
- C . Executes or debugs a process
- D . triggers unattended processes
Correct Answer: C
C
Explanation:
The interaction between UiPath Studio and the UiPath Robot Service performs the function of executing or debugging a process. UiPath Studio is the design tool that allows users to create, edit, and test automation workflows. UiPath Robot Service is the component that runs the automation workflows on the machine. It communicates through an inter-process communication channel with Studio, the UiPath Assistant, and Robot Command Line Interface to receive and process information, and then to provide the necessary instructions to the Robot Executor. When a user wants to execute or debug a process from Studio, the Robot Service receives the command and launches the Robot Executor in the appropriate mode and session. The Robot Executor then performs the actions defined in the workflow and sends back the status and logs to the Robot Service, which in turn relays them to Studio.
Reference: Robot – Robot Service – UiPath Documentation Portal Studio – Debugging – UiPath Documentation Portal Robot – Executing Processes – UiPath Documentation Portal
C
Explanation:
The interaction between UiPath Studio and the UiPath Robot Service performs the function of executing or debugging a process. UiPath Studio is the design tool that allows users to create, edit, and test automation workflows. UiPath Robot Service is the component that runs the automation workflows on the machine. It communicates through an inter-process communication channel with Studio, the UiPath Assistant, and Robot Command Line Interface to receive and process information, and then to provide the necessary instructions to the Robot Executor. When a user wants to execute or debug a process from Studio, the Robot Service receives the command and launches the Robot Executor in the appropriate mode and session. The Robot Executor then performs the actions defined in the workflow and sends back the status and logs to the Robot Service, which in turn relays them to Studio.
Reference: Robot – Robot Service – UiPath Documentation Portal Studio – Debugging – UiPath Documentation Portal Robot – Executing Processes – UiPath Documentation Portal
Question #2
Which of the following models are available in UiPath Al Center tor UAPath Automation Suite?
- A . Models built by independent freelance developers
- B . Models build by third-party integration platforms from UiPath Marketplace
- C . Models built by – house data scientists
- D . Models built by non-tech industry professionals
Correct Answer: B
B
Explanation:
UiPath AI Center is a service that allows users to deploy, manage, and consume machine learning models within RPA workflows in Studio. Users can bring their own models, use the pre-built models provided by UiPath, or select third-party models from the UiPath Marketplace. The UiPath Marketplace is a platform where users can find and install ready-made components, such as activities, workflows, connectors, dashboards, and machine learning models, that are integrated with UiPath products. The Marketplace offers models from various third-party integration platforms, such as AWS, Azure, Google Cloud, IBM Watson, and more.
Reference: RPA & AI Integration with AI Center, AI Center – About AI Center, UiPath Marketplace
B
Explanation:
UiPath AI Center is a service that allows users to deploy, manage, and consume machine learning models within RPA workflows in Studio. Users can bring their own models, use the pre-built models provided by UiPath, or select third-party models from the UiPath Marketplace. The UiPath Marketplace is a platform where users can find and install ready-made components, such as activities, workflows, connectors, dashboards, and machine learning models, that are integrated with UiPath products. The Marketplace offers models from various third-party integration platforms, such as AWS, Azure, Google Cloud, IBM Watson, and more.
Reference: RPA & AI Integration with AI Center, AI Center – About AI Center, UiPath Marketplace
Question #3
Which are the 2 types of accounts available in UiPath Automaton Cloud?
- A . Person Robot
- B . Named user. User
- C . User Group
- D . User Robot
Correct Answer: B D
B D
Explanation:
Named user accounts are used to identify a person who can access UiPath products and services, and can be assigned roles, licenses, and groups. User Robot accounts are used to run unattended processes that do not require human interaction, and can also be assigned permissions and groups1.
Reference: About accounts and groups
B D
Explanation:
Named user accounts are used to identify a person who can access UiPath products and services, and can be assigned roles, licenses, and groups. User Robot accounts are used to run unattended processes that do not require human interaction, and can also be assigned permissions and groups1.
Reference: About accounts and groups
Question #4
What is the purpose of using a standard business process model and notations when creating a high-level solution design?
- A . To show the sequence of steps in the solution without focusing on details
- B . To ensure consistency and understanding across different process diagrams
- C . To reduce the time spent on designing the solution by using obvious symbols
- D . To make the diagrams visually appealing and engaging tor stakeholders
Correct Answer: B
B
Explanation:
A standard business process model and notation (BPMN) is a graphical representation of the business processes and workflows in a solution. It helps to communicate the logic, flow, and interactions of the activities and actors involved in the solution. By using a standard BPMN, the solution architect can ensure that the solution design is consistent, clear, and understandable across different process diagrams, regardless of the level of detail or complexity. A standard BPMN also facilitates the alignment and integration of the solution with other systems and platforms, as well as the validation and verification of the solution requirements and functionality.
Reference: UiPath Automation Solution Architect Learning Plan, Module 4: High-Level Solution Design1; UiPath Automation Suite – Deployment Architecture2; UiPath Academy – Roles of a Solution Architect in Automation, RPA Setting3.
B
Explanation:
A standard business process model and notation (BPMN) is a graphical representation of the business processes and workflows in a solution. It helps to communicate the logic, flow, and interactions of the activities and actors involved in the solution. By using a standard BPMN, the solution architect can ensure that the solution design is consistent, clear, and understandable across different process diagrams, regardless of the level of detail or complexity. A standard BPMN also facilitates the alignment and integration of the solution with other systems and platforms, as well as the validation and verification of the solution requirements and functionality.
Reference: UiPath Automation Solution Architect Learning Plan, Module 4: High-Level Solution Design1; UiPath Automation Suite – Deployment Architecture2; UiPath Academy – Roles of a Solution Architect in Automation, RPA Setting3.
Question #5
Invoices from various clients require processing Why would the "Unique Key" properly be used in the Orchestrator Queue configuration?
- A . To uniquely identify the queue in Orchestrator
- B . To display processed invoices in a report
- C . To ensure that each invoice is only processed once and to ovoid duplication
- D . To prioritize the processing of specific queue items over others
Correct Answer: C
C
Explanation:
The Unique Key property in the Orchestrator Queue configuration allows you to specify whether the queue items should have unique references or not. A reference is a string value that can be used to identify a queue item. If the Unique Key property is set to Yes, then Orchestrator checks if the reference of the new queue item already exists in the queue, and rejects the item if it does. This way, you can prevent adding duplicate items to the queue and ensure that each invoice is processed only once. If the Unique Key property is set to No, then Orchestrator does not perform this check and allows adding items with the same reference to the queue. This option can be useful if you want to process the same invoice multiple times for different purposes or scenarios.
Reference: Managing Queues in Orchestrator – UiPath Documentation Portal, Managing Queues in Orchestrator – UiPath Documentation Portal, Orchestrator Queue – “unique reference” is enforced – Help – UiPath Community Forum
C
Explanation:
The Unique Key property in the Orchestrator Queue configuration allows you to specify whether the queue items should have unique references or not. A reference is a string value that can be used to identify a queue item. If the Unique Key property is set to Yes, then Orchestrator checks if the reference of the new queue item already exists in the queue, and rejects the item if it does. This way, you can prevent adding duplicate items to the queue and ensure that each invoice is processed only once. If the Unique Key property is set to No, then Orchestrator does not perform this check and allows adding items with the same reference to the queue. This option can be useful if you want to process the same invoice multiple times for different purposes or scenarios.
Reference: Managing Queues in Orchestrator – UiPath Documentation Portal, Managing Queues in Orchestrator – UiPath Documentation Portal, Orchestrator Queue – “unique reference” is enforced – Help – UiPath Community Forum
Question #6
What is the purpose of the "Resumed" process status in UiPath Action Center?
- A . It signals the completion of an intermediary process or the addition of Human input
- B . It represents a paused process awaiting further instructions
- C . It signals that the process is successfully completed
- D . It indicates the process is terminated
Correct Answer: A
A
Explanation:
UiPath Action Center is a feature that enables human intervention in long-running unattended workflows. The “Resumed” process status indicates that the workflow execution has been resumed after a human input was provided through a task in Action Center. For example, a document understanding process may require a human to validate the extracted data from a document and then resume the automation. The “Resumed” status shows that the human validation action has been completed and the workflow is continuing with the next steps.
Reference: Action Center – Introduction
Action Center – Wait for Document Validation Action and Resume
A
Explanation:
UiPath Action Center is a feature that enables human intervention in long-running unattended workflows. The “Resumed” process status indicates that the workflow execution has been resumed after a human input was provided through a task in Action Center. For example, a document understanding process may require a human to validate the extracted data from a document and then resume the automation. The “Resumed” status shows that the human validation action has been completed and the workflow is continuing with the next steps.
Reference: Action Center – Introduction
Action Center – Wait for Document Validation Action and Resume
Question #7
What type of applications can be built using UiPath Apps?
- A . Application focused on Integrating and managing UiPath RPA automations
- B . Applications primarily targeting data analyse and machine learning
- C . Simple applications with base user interaction and limited functionality
- D . Custom business applications tor data access and complex business log*:
Correct Answer: D
D
Explanation:
UiPath Apps is a low-code platform for developing user interfaces for RPA projects built with UiPath. It allows you to create apps using a web browser, a rich library of drag-and-drop controls, and automations from the UiPath Platform. UiPath Apps supports APIs, legacy applications, and data sources that are not easily programmable. You can build custom business applications that connect to data in any underlying cloud or on-premises system using the power of automation. You can also design apps that run in multiple form factors, such as a full-page console, a sidebar, or any other size for either desktop or mobile devices. You can use UiPath Apps to create simple or complex applications with base user interaction and advanced functionality, such as conditional logic, data validation, and error handling. You can also integrate and manage UiPath RPA automations within your apps, using attended or unattended robots to interact with back-end systems. UiPath Apps is not primarily focused on data analysis and machine learning, although you can use UiPath activities and integrations to perform such tasks within your automations.
Reference: Apps – Introduction – UiPath Documentation Portal Introducing UiPath Apps: A Robot-Powered Low-Code Platform UiPath Apps
D
Explanation:
UiPath Apps is a low-code platform for developing user interfaces for RPA projects built with UiPath. It allows you to create apps using a web browser, a rich library of drag-and-drop controls, and automations from the UiPath Platform. UiPath Apps supports APIs, legacy applications, and data sources that are not easily programmable. You can build custom business applications that connect to data in any underlying cloud or on-premises system using the power of automation. You can also design apps that run in multiple form factors, such as a full-page console, a sidebar, or any other size for either desktop or mobile devices. You can use UiPath Apps to create simple or complex applications with base user interaction and advanced functionality, such as conditional logic, data validation, and error handling. You can also integrate and manage UiPath RPA automations within your apps, using attended or unattended robots to interact with back-end systems. UiPath Apps is not primarily focused on data analysis and machine learning, although you can use UiPath activities and integrations to perform such tasks within your automations.
Reference: Apps – Introduction – UiPath Documentation Portal Introducing UiPath Apps: A Robot-Powered Low-Code Platform UiPath Apps
Question #8
Which of the following is listed under the use cases of Al Center for handling unstructured data?
- A . Image Classification
- B . Inventory Forecasts
- C . Language Translation
- D . Loan Defaults
Correct Answer: A
A
Explanation:
Image classification is one of the use cases of AI Center for handling unstructured data, as it allows robots to identify and categorize images based on their content and features. For example, image classification can be used to automate tasks such as sorting documents, detecting defects, or recognizing faces. AI Center provides pre-built models for image classification, as well as the option to upload custom models or use third-party models. Image classification can be integrated into RPA workflows using the ML Skill activity in UiPath Studio.
Reference: RPA & AI Integration with AI Center | UiPath, AI Center – Using AI Center – UiPath Documentation Portal, [Image Classification :: AI Center].
A
Explanation:
Image classification is one of the use cases of AI Center for handling unstructured data, as it allows robots to identify and categorize images based on their content and features. For example, image classification can be used to automate tasks such as sorting documents, detecting defects, or recognizing faces. AI Center provides pre-built models for image classification, as well as the option to upload custom models or use third-party models. Image classification can be integrated into RPA workflows using the ML Skill activity in UiPath Studio.
Reference: RPA & AI Integration with AI Center | UiPath, AI Center – Using AI Center – UiPath Documentation Portal, [Image Classification :: AI Center].
Question #9
Which of the Mowing can be achieved by using Automaton Ops?
- A . Define the licensing availability and strategy
- B . Preform remote installations of UPath products (Such as Studio Assistant)
- C . Configure connection between different products inside the UiPath ecosystem
- D . Configure and deploy governance policies
Correct Answer: D
D
Explanation:
According to the UiPath documentation1, Automation Ops is a component of the UiPath platform meant for creating, deploying, and managing Robotic Process Automation (RPA) governance policies in UiPath Studio, UiPath StudioX, and UiPath Assistant. You can use a single, simple web portal to manage and implement governance rules based on user profiles, such as defining the acceptable feeds, packages, widgets, and activities, restricting the applications and URLs that can be automated, and assigning roles and responsibilities for reviewing and approving the automation projects. Automation Ops also integrates with Git repositories and CI/CD pipelines to provide source control and automation delivery capabilities. Therefore, the correct answer is D. Configure and deploy governance policies, as this is one of the main functionalities of Automation Ops.
Reference: 1: Automation Ops – UiPath Documentation
D
Explanation:
According to the UiPath documentation1, Automation Ops is a component of the UiPath platform meant for creating, deploying, and managing Robotic Process Automation (RPA) governance policies in UiPath Studio, UiPath StudioX, and UiPath Assistant. You can use a single, simple web portal to manage and implement governance rules based on user profiles, such as defining the acceptable feeds, packages, widgets, and activities, restricting the applications and URLs that can be automated, and assigning roles and responsibilities for reviewing and approving the automation projects. Automation Ops also integrates with Git repositories and CI/CD pipelines to provide source control and automation delivery capabilities. Therefore, the correct answer is D. Configure and deploy governance policies, as this is one of the main functionalities of Automation Ops.
Reference: 1: Automation Ops – UiPath Documentation
Question #10
Which UiPath Task Mining integrator allows for documented tasks to be exported as automaton ideas?
- A . Integration with UiPath Orchestrator
- B . integration with UiPath Assistant
- C . Integration with UiPaTh Automation Hub
- D . Integration with UiPath Process Mining
Correct Answer: C
C
Explanation:
UiPath Automation Hub is a centralized platform that enables users to capture, prioritize, and track automation ideas throughout their lifecycle. It also integrates with UiPath Task Mining, which is a tool that analyzes employees’ desktop activities to discover repetitive and automatable tasks. By integrating Task Mining with Automation Hub, users can export the documented tasks as automation ideas and manage them in a unified pipeline. This way, users can leverage the data-driven insights from Task Mining to build a high-ROI automation portfolio.
Reference: Task Mining Integration with Automation Hub, Automation Hub Overview
C
Explanation:
UiPath Automation Hub is a centralized platform that enables users to capture, prioritize, and track automation ideas throughout their lifecycle. It also integrates with UiPath Task Mining, which is a tool that analyzes employees’ desktop activities to discover repetitive and automatable tasks. By integrating Task Mining with Automation Hub, users can export the documented tasks as automation ideas and manage them in a unified pipeline. This way, users can leverage the data-driven insights from Task Mining to build a high-ROI automation portfolio.
Reference: Task Mining Integration with Automation Hub, Automation Hub Overview
Question #11
Given the blowing diagram how on the process be optimized from the steps perspective?
- A . Read the email as a first step and open CRM and tog in only if there’s an email.
- B . Do not send a confirmation email as part of this process
- C . Navigate to the User Profile directly after the login
- D . Log out from CRM before login so the environment is ready lot automation
Correct Answer: A
A
Explanation:
The process shown in the diagram can be optimized by reading the email as the first step and opening CRM and logging in only if there’s an email. This way, the process can avoid unnecessary steps and save time and resources. If there is no email, the process can end without opening CRM. If there is an email, the process can extract the user information from the email and use it to log in to CRM and navigate to the user profile. This can also reduce the risk of errors and exceptions due to invalid or missing user information. Reading the email as the first step can also help the process to prioritize the emails based on their importance or urgency and handle them accordingly.
Reference: UiPath Process Mining: Use process monitoring and optimization to propel RPA
Optimizing Processes with UiPath Process Mining Optimization maximum utilisation – UiPath Community Forum
A
Explanation:
The process shown in the diagram can be optimized by reading the email as the first step and opening CRM and logging in only if there’s an email. This way, the process can avoid unnecessary steps and save time and resources. If there is no email, the process can end without opening CRM. If there is an email, the process can extract the user information from the email and use it to log in to CRM and navigate to the user profile. This can also reduce the risk of errors and exceptions due to invalid or missing user information. Reading the email as the first step can also help the process to prioritize the emails based on their importance or urgency and handle them accordingly.
Reference: UiPath Process Mining: Use process monitoring and optimization to propel RPA
Optimizing Processes with UiPath Process Mining Optimization maximum utilisation – UiPath Community Forum
Question #12
What argument types can be used for a workflow that is invoked with the Isolated" option?
- A . Simple types
- B . Reference types
- C . Serializable types
- D . Class types
Correct Answer: C
C
Explanation:
The Isolated option for the Invoke Workflow File activity allows the invoked workflow to run in a separate Windows process, which can help with isolating a faulty workflow from the main workflow. However, this option requires that the arguments passed to the invoked workflow are serializable, meaning that they can be converted into a binary format that can be transferred across processes. Simple types, such as integers, strings, booleans, etc., are serializable by default. Reference types, such as arrays, lists, dictionaries, etc., are serializable if they implement the ISerializable interface or have the [Serializable] attribute. Class types are serializable if they meet the same criteria as reference types. Data Row is an example of a non-serializable type that cannot be used as an argument for an isolated workflow.
Reference: Invoke Workflow File, Using Arguments, What is the the use of “isolated” property of invoke workflow, How to pass arguments to Isolated Workflow.
C
Explanation:
The Isolated option for the Invoke Workflow File activity allows the invoked workflow to run in a separate Windows process, which can help with isolating a faulty workflow from the main workflow. However, this option requires that the arguments passed to the invoked workflow are serializable, meaning that they can be converted into a binary format that can be transferred across processes. Simple types, such as integers, strings, booleans, etc., are serializable by default. Reference types, such as arrays, lists, dictionaries, etc., are serializable if they implement the ISerializable interface or have the [Serializable] attribute. Class types are serializable if they meet the same criteria as reference types. Data Row is an example of a non-serializable type that cannot be used as an argument for an isolated workflow.
Reference: Invoke Workflow File, Using Arguments, What is the the use of “isolated” property of invoke workflow, How to pass arguments to Isolated Workflow.
Question #13
What are two key indicators m estimating the development time for process development?
- A . Number of items to be processed and experience of developers
- B . Number of users who will use the process and number of applications 10 be automated
- C . Correctness of documentation and triggers scheduling strategy
- D . Number of actions to be automated and complexity of architecture
Correct Answer: D
D
Explanation:
The development time for process development depends on various factors, such as the scope, requirements, design, testing, deployment, and maintenance of the automation solution. However, two of the most important factors are the number of actions to be automated and the complexity of the architecture. The number of actions to be automated refers to the number of steps, activities, or tasks that the automation solution has to perform to achieve the desired outcome. The complexity of the architecture refers to the level of difficulty, integration, and customization involved in designing and implementing the automation solution. Both of these factors affect the amount of effort, resources, and skills required for the process development12.
Reference: Roles of a Solution Architect in Automation, RPA Setting, Become an Automation Solution Architect
D
Explanation:
The development time for process development depends on various factors, such as the scope, requirements, design, testing, deployment, and maintenance of the automation solution. However, two of the most important factors are the number of actions to be automated and the complexity of the architecture. The number of actions to be automated refers to the number of steps, activities, or tasks that the automation solution has to perform to achieve the desired outcome. The complexity of the architecture refers to the level of difficulty, integration, and customization involved in designing and implementing the automation solution. Both of these factors affect the amount of effort, resources, and skills required for the process development12.
Reference: Roles of a Solution Architect in Automation, RPA Setting, Become an Automation Solution Architect
Question #14
Deal guidance is a machine learning application of which industry?
- A . Financial services
- B . Healthcare
- C . Professional services
- D . Retail
Correct Answer: A
A
Explanation:
Deal guidance is a machine learning application that helps financial services firms to optimize their deal pricing, terms, and risk assessment. It uses historical data, market trends, and customer preferences to generate insights and recommendations for the best deal outcomes. Deal guidance can also automate the deal approval process and generate reports and dashboards for performance monitoring and compliance.
Reference: UiPath Automation Solution Architect Learning Plan, Module 6: Machine Learning and AI1; UiPath Automation Suite – Deal Guidance2; UiPath Academy – Roles of a Solution Architect in Automation, RPA Setting3.
A
Explanation:
Deal guidance is a machine learning application that helps financial services firms to optimize their deal pricing, terms, and risk assessment. It uses historical data, market trends, and customer preferences to generate insights and recommendations for the best deal outcomes. Deal guidance can also automate the deal approval process and generate reports and dashboards for performance monitoring and compliance.
Reference: UiPath Automation Solution Architect Learning Plan, Module 6: Machine Learning and AI1; UiPath Automation Suite – Deal Guidance2; UiPath Academy – Roles of a Solution Architect in Automation, RPA Setting3.
Question #15
What is a requirement to access Automation Cloud?
- A . Need a dedicated infrastructure
- B . Need a compatible browser
- C . Need to install on-premises
- D . Need an offline access
Correct Answer: B
B
Explanation:
To access Automation Cloud, you do not need a dedicated infrastructure, an on-premises installation, or an offline access. You only need an internet connection with TLS and a compatible web browser. Automation Cloud is a cloud-based platform that delivers the full UiPath Platform, including SaaS robots and self-hosted robots, in under a minute, from any of six regions around the world. You can access it from any supported browser, such as Google Chrome, Microsoft Edge Chromium, Mozilla Firefox, or Apple Safari. Other browsers that are not listed, older versions of the listed ones, or mobile browsers are not supported and may cause errors or malfunctions.
Reference: Automation Cloud – Software requirements – UiPath Documentation Portal, Complete cloud-based enterprise automation solution | UiPath
B
Explanation:
To access Automation Cloud, you do not need a dedicated infrastructure, an on-premises installation, or an offline access. You only need an internet connection with TLS and a compatible web browser. Automation Cloud is a cloud-based platform that delivers the full UiPath Platform, including SaaS robots and self-hosted robots, in under a minute, from any of six regions around the world. You can access it from any supported browser, such as Google Chrome, Microsoft Edge Chromium, Mozilla Firefox, or Apple Safari. Other browsers that are not listed, older versions of the listed ones, or mobile browsers are not supported and may cause errors or malfunctions.
Reference: Automation Cloud – Software requirements – UiPath Documentation Portal, Complete cloud-based enterprise automation solution | UiPath
Question #16
What is the recommended UiPath Studio template to be used for long-running workflows?
- A . Robotic Enterprise Framework (ReFramework).
- B . Attended Automation Framework
- C . No framework is needed
- D . Orchestration Process Template
Correct Answer: D
D
Explanation:
Long-running workflows are processes that require logical fragmentation or human intervention (validations, approvals, exception handling) such as invoice processing and performance reviews. UiPath provides a dedicated project template in Studio called Orchestration Process, which enables the use of a set of activities to handle these scenarios. The Orchestration Process template allows the workflow to be suspended and resumed based on certain conditions, such as the completion of a job, a queue item, a form task, or an external task. The template also integrates with UiPath Action Center, which is a feature that enables human intervention in long-running unattended workflows. The Orchestration Process template is the recommended option for designing and developing long-running workflows in UiPath Studio.
Reference: Orchestrator – Working With Long-running Workflows
New Component – Long Running Workflow Template with UiPath Tasks Long Running Workflow Template for Task Creation – UiPath Marketplace
D
Explanation:
Long-running workflows are processes that require logical fragmentation or human intervention (validations, approvals, exception handling) such as invoice processing and performance reviews. UiPath provides a dedicated project template in Studio called Orchestration Process, which enables the use of a set of activities to handle these scenarios. The Orchestration Process template allows the workflow to be suspended and resumed based on certain conditions, such as the completion of a job, a queue item, a form task, or an external task. The template also integrates with UiPath Action Center, which is a feature that enables human intervention in long-running unattended workflows. The Orchestration Process template is the recommended option for designing and developing long-running workflows in UiPath Studio.
Reference: Orchestrator – Working With Long-running Workflows
New Component – Long Running Workflow Template with UiPath Tasks Long Running Workflow Template for Task Creation – UiPath Marketplace
Question #17
What is a layer that is redundant for a Solution Architect to take into account when designing the Reusable Components for a project?
- A . Logic layer
- B . Persistence layer (saving data)
- C . Process steps that are not part of the User Interlace interaction layer or the Logic layer or the Persistence layer
- D . User interface interaction layer (interact with applications)
Correct Answer: C
C
Explanation:
A reusable component is a workflow that can be compiled and packaged as an activity and reused in multiple processes. A reusable component should be designed with a clear purpose, input and output parameters, and error handling. A reusable component should also follow the best practices of modularity, reusability, maintainability, and scalability. A reusable component can be categorized into three layers: User Interface interaction layer, Logic layer, and Persistence layer. The User Interface interaction layer is responsible for interacting with applications, such as clicking, typing, or scraping data. The Logic layer is responsible for implementing the business logic, such as calculations, validations, or decision making. The Persistence layer is responsible for saving or retrieving data, such as using databases, files, or queues. These three layers are essential for designing reusable components, as they represent the common functionalities that can be shared across different processes. However, process steps that are not part of these three layers are redundant for a Solution Architect to take into account when designing the reusable components for a project. Process steps that are not part of these three layers are specific to a particular process or scenario, and they may not be applicable or compatible with other processes. For example, a process step that involves sending an email notification to a specific recipient or group may not be relevant or suitable for another process that uses the same reusable component. Therefore, such process steps should be avoided or separated from the reusable components, and instead be implemented in the main workflow of the process that requires them.
Reference: 18.3 – Library (Reusable components) – UiPath Community Forum
How to make useful Libraries (Reusable components) – UiPath Community Forum Reusable Components – UiPath Documentation Portal
C
Explanation:
A reusable component is a workflow that can be compiled and packaged as an activity and reused in multiple processes. A reusable component should be designed with a clear purpose, input and output parameters, and error handling. A reusable component should also follow the best practices of modularity, reusability, maintainability, and scalability. A reusable component can be categorized into three layers: User Interface interaction layer, Logic layer, and Persistence layer. The User Interface interaction layer is responsible for interacting with applications, such as clicking, typing, or scraping data. The Logic layer is responsible for implementing the business logic, such as calculations, validations, or decision making. The Persistence layer is responsible for saving or retrieving data, such as using databases, files, or queues. These three layers are essential for designing reusable components, as they represent the common functionalities that can be shared across different processes. However, process steps that are not part of these three layers are redundant for a Solution Architect to take into account when designing the reusable components for a project. Process steps that are not part of these three layers are specific to a particular process or scenario, and they may not be applicable or compatible with other processes. For example, a process step that involves sending an email notification to a specific recipient or group may not be relevant or suitable for another process that uses the same reusable component. Therefore, such process steps should be avoided or separated from the reusable components, and instead be implemented in the main workflow of the process that requires them.
Reference: 18.3 – Library (Reusable components) – UiPath Community Forum
How to make useful Libraries (Reusable components) – UiPath Community Forum Reusable Components – UiPath Documentation Portal
Question #18
How does scalability impact the design of a UiPath automaton flowchart and what strategies can ensure it handles increased process volume?
- A . Scalability primarily focuses on reducing the number of steps in the flowchart to make it more efficient for smaller-scale processes
- B . To achieve salacity flowchart design should be rigid and not allow for changes or adaptations to the process response lo evolving business needs.
- C . Scalability is crucial in high-level flowchart design to handle larger volumes efficiently involving design adjustments and resource optimization if needed
- D . Scalability is irrelevant in high-level flowchart design, as it is solely a concern for the deployment phase
Correct Answer: C
C
Explanation:
Scalability is the ability of a system or a process to handle growing amounts of work or demand in a graceful manner. Scalability impacts the design of a UiPath automation flowchart because it determines how well the automation can cope with increased process volume, complexity, or variability.
A scalable flowchart design should consider the following strategies:
Modularization: Breaking down the process into smaller, reusable, and maintainable components that can be easily modified or replaced if needed. Modularization also facilitates testing, debugging, and error handling.
Parameterization: Using variables, arguments, configuration files, assets, or queues to store and pass data that can change depending on the process execution. Parameterization allows for flexibility and adaptability of the automation to different scenarios or environments.
Optimization: Reducing unnecessary or redundant steps, activities, or data in the flowchart to improve the performance, efficiency, and reliability of the automation. Optimization also involves choosing the best methods or techniques to achieve the desired outcome, such as using selectors, data scraping, or computer vision.
Orchestration: Managing the resources, schedules, triggers, and dependencies of the automation to ensure that it runs smoothly and effectively. Orchestration also involves monitoring, logging, and reporting the status and results of the automation, as well as handling exceptions and alerts.
Reference: Enhancing UiPath Solutions’ Design Scalability, Roles of a Solution Architect in Automation, RPA Setting, Studio – Flowcharts.
C
Explanation:
Scalability is the ability of a system or a process to handle growing amounts of work or demand in a graceful manner. Scalability impacts the design of a UiPath automation flowchart because it determines how well the automation can cope with increased process volume, complexity, or variability.
A scalable flowchart design should consider the following strategies:
Modularization: Breaking down the process into smaller, reusable, and maintainable components that can be easily modified or replaced if needed. Modularization also facilitates testing, debugging, and error handling.
Parameterization: Using variables, arguments, configuration files, assets, or queues to store and pass data that can change depending on the process execution. Parameterization allows for flexibility and adaptability of the automation to different scenarios or environments.
Optimization: Reducing unnecessary or redundant steps, activities, or data in the flowchart to improve the performance, efficiency, and reliability of the automation. Optimization also involves choosing the best methods or techniques to achieve the desired outcome, such as using selectors, data scraping, or computer vision.
Orchestration: Managing the resources, schedules, triggers, and dependencies of the automation to ensure that it runs smoothly and effectively. Orchestration also involves monitoring, logging, and reporting the status and results of the automation, as well as handling exceptions and alerts.
Reference: Enhancing UiPath Solutions’ Design Scalability, Roles of a Solution Architect in Automation, RPA Setting, Studio – Flowcharts.
Question #19
Which feature of UiPath Apps allows a user to create forms and components for user interfaces in applications?
- A . UiPath Studio
- B . UiPath Orchestrator
- C . Data Service
- D . App Builder
Correct Answer: D
D
Explanation:
According to the UiPath documentation1, App Builder is a feature of UiPath Apps that allows a user
to create forms and components for user interfaces in applications. App Builder is a low-code app development tool that enables users to design and publish custom apps using drag-and-drop controls, data bindings, conditional logic, and automation workflows. App Builder also provides a preview mode to test the app functionality and appearance before publishing. Users can create apps for various form factors and devices, such as desktop, mobile, web, or sidebar. App Builder also integrates with UiPath Studio, UiPath Orchestrator, and Data Service to leverage the power of automation and data management in the apps.
Reference: 1: App Builder – UiPath Documentation Portal
D
Explanation:
According to the UiPath documentation1, App Builder is a feature of UiPath Apps that allows a user
to create forms and components for user interfaces in applications. App Builder is a low-code app development tool that enables users to design and publish custom apps using drag-and-drop controls, data bindings, conditional logic, and automation workflows. App Builder also provides a preview mode to test the app functionality and appearance before publishing. Users can create apps for various form factors and devices, such as desktop, mobile, web, or sidebar. App Builder also integrates with UiPath Studio, UiPath Orchestrator, and Data Service to leverage the power of automation and data management in the apps.
Reference: 1: App Builder – UiPath Documentation Portal
Question #20
What is the man difference between the deployment models for UiPath products?
- A . How the product is managed from an IT infrastructure point of view.
- B . The level of infrastructure integration between UiPath products.
- C . The types of processes that can be automated using the products.
- D . How each product I s licensed and billed
Correct Answer: A
A
Explanation:
The deployment models for UiPath products refer to the different ways of installing, configuring, and running the UiPath components on various IT environments. The main difference between the deployment models is how the product is managed from an IT infrastructure point of view, such as the hardware, software, network, and security requirements, the scalability and availability options, the backup and recovery strategies, and the maintenance and support procedures.
UiPath offers several deployment models to suit different customer needs and preferences, such as:
Standalone deployment: This is the simplest and most common deployment model, where each UiPath component is installed on a single machine or server, and communicates directly with other components without any intermediaries. This model is suitable for small-scale automation scenarios, where the number of robots, processes, and users is low, and the IT infrastructure is simple and stable. However, this model has some limitations in terms of performance, reliability, security, and flexibility, as it depends on the availability and capacity of the single machine or server hosting the component.
High-availability deployment: This is a more advanced and robust deployment model, where each UiPath component is installed on multiple machines or servers, and communicates with other components through a load balancer or a cluster manager. This model is suitable for large-scale automation scenarios, where the number of robots, processes, and users is high, and the IT infrastructure is complex and dynamic. This model offers several benefits in terms of performance, reliability, security, and flexibility, as it allows for load balancing, failover, scaling, and redundancy of the components.
Cloud deployment: This is a modern and flexible deployment model, where some or all of the UiPath components are hosted on a cloud platform, such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform, and communicate with other components through the internet. This model is suitable for hybrid or distributed automation scenarios, where the number of robots, processes, and users is variable, and the IT infrastructure is elastic and scalable. This model offers several advantages in terms of cost, convenience, accessibility, and innovation, as it reduces the need for hardware, software, network, and security maintenance, and enables faster and easier deployment, configuration, and updates of the components.
Reference: About Deployment – Standalone, Automation Suite – Deployment architecture, UiPath Cloud Platform
A
Explanation:
The deployment models for UiPath products refer to the different ways of installing, configuring, and running the UiPath components on various IT environments. The main difference between the deployment models is how the product is managed from an IT infrastructure point of view, such as the hardware, software, network, and security requirements, the scalability and availability options, the backup and recovery strategies, and the maintenance and support procedures.
UiPath offers several deployment models to suit different customer needs and preferences, such as:
Standalone deployment: This is the simplest and most common deployment model, where each UiPath component is installed on a single machine or server, and communicates directly with other components without any intermediaries. This model is suitable for small-scale automation scenarios, where the number of robots, processes, and users is low, and the IT infrastructure is simple and stable. However, this model has some limitations in terms of performance, reliability, security, and flexibility, as it depends on the availability and capacity of the single machine or server hosting the component.
High-availability deployment: This is a more advanced and robust deployment model, where each UiPath component is installed on multiple machines or servers, and communicates with other components through a load balancer or a cluster manager. This model is suitable for large-scale automation scenarios, where the number of robots, processes, and users is high, and the IT infrastructure is complex and dynamic. This model offers several benefits in terms of performance, reliability, security, and flexibility, as it allows for load balancing, failover, scaling, and redundancy of the components.
Cloud deployment: This is a modern and flexible deployment model, where some or all of the UiPath components are hosted on a cloud platform, such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform, and communicate with other components through the internet. This model is suitable for hybrid or distributed automation scenarios, where the number of robots, processes, and users is variable, and the IT infrastructure is elastic and scalable. This model offers several advantages in terms of cost, convenience, accessibility, and innovation, as it reduces the need for hardware, software, network, and security maintenance, and enables faster and easier deployment, configuration, and updates of the components.
Reference: About Deployment – Standalone, Automation Suite – Deployment architecture, UiPath Cloud Platform
Question #21
When statement below accurately identifies the correct option regarding the various types of deployment?
- A . Single-node deployment option is recommended for evaluation and demo scenarios
- B . In a single-node deployment High Availability (HA) is enabled by default
- C . A single-node deployment involves 3 or more server nodes behind a load balancer
- D . Single-node deployment option is recommended tor production use
Correct Answer: A
A
Explanation:
The single-node deployment option is recommended for evaluation and demo scenarios because it is simpler and faster to set up and requires less resources. It involves installing the Automation Suite on a single server node, which hosts both the cluster management services and the UiPath products and shared components. This option is not suitable for production use, as it does not provide high availability, scalability, or fault tolerance. It also does not support special workloads that require GPU capabilities, such as Task Mining analysis and Document Understanding pipelines.
Reference: Automation Suite – Deployment architecture – UiPath
Automation Suite – Supported use cases for single-node and multi-node installations – UiPath
A
Explanation:
The single-node deployment option is recommended for evaluation and demo scenarios because it is simpler and faster to set up and requires less resources. It involves installing the Automation Suite on a single server node, which hosts both the cluster management services and the UiPath products and shared components. This option is not suitable for production use, as it does not provide high availability, scalability, or fault tolerance. It also does not support special workloads that require GPU capabilities, such as Task Mining analysis and Document Understanding pipelines.
Reference: Automation Suite – Deployment architecture – UiPath
Automation Suite – Supported use cases for single-node and multi-node installations – UiPath
Question #22
What are the two main delivery options for the UiPath Platform?
- A . UiPath Automaton Studio and UiPath Automation Hub
- B . UiPath Automaton Web and UiPath Automaton Desktop
- C . UiPath Automaton Cloud and UiPath Automaton Suite
- D . UiPath Automaton Enterprise and UiPath Automaton Express
Correct Answer: C
C
Explanation:
UiPath offers two main delivery options for the UiPath Platform, which are designed to provide customers with flexibility and choice on how to deploy and manage their automation solutions. These options are:
UiPath Automation Cloud: This is a cloud-based service that provides the complete UiPath Platform as a software as a service (SaaS) offering. Customers can access all the UiPath products and services from a single web portal, without having to worry about infrastructure, maintenance, or updates.
UiPath Automation Cloud is scalable, secure, and compliant with various standards and regulations. UiPath Automation Suite: This is a self-hosted solution that delivers the same cloud-native platform architecture and functionality as UiPath Automation Cloud, but on-premises or in a public cloud of the customer’s choice. Customers can install and configure UiPath Automation Suite on Linux-based
hardware or virtual machines, and benefit from the containerized and microservices-based design, the unified user experience, and the platform services. UiPath Automation Suite also includes tools for managing and monitoring the Kubernetes and Linux infrastructure, as well as periodic updates for the entire package.
Reference: Overview – Product Differences – UiPath, Delivering Cloud Native Infrastructure On-Premises | UiPath, Overview – Platform Guidelines for Partners – UiPath.
C
Explanation:
UiPath offers two main delivery options for the UiPath Platform, which are designed to provide customers with flexibility and choice on how to deploy and manage their automation solutions. These options are:
UiPath Automation Cloud: This is a cloud-based service that provides the complete UiPath Platform as a software as a service (SaaS) offering. Customers can access all the UiPath products and services from a single web portal, without having to worry about infrastructure, maintenance, or updates.
UiPath Automation Cloud is scalable, secure, and compliant with various standards and regulations. UiPath Automation Suite: This is a self-hosted solution that delivers the same cloud-native platform architecture and functionality as UiPath Automation Cloud, but on-premises or in a public cloud of the customer’s choice. Customers can install and configure UiPath Automation Suite on Linux-based
hardware or virtual machines, and benefit from the containerized and microservices-based design, the unified user experience, and the platform services. UiPath Automation Suite also includes tools for managing and monitoring the Kubernetes and Linux infrastructure, as well as periodic updates for the entire package.
Reference: Overview – Product Differences – UiPath, Delivering Cloud Native Infrastructure On-Premises | UiPath, Overview – Platform Guidelines for Partners – UiPath.
Question #23
What is the role of ‘E3L”?
- A . Unattended Dispatcher
- B . Manually triggered Dispatcher
- C . Human in the Loop Performer
- D . Process Performer
Correct Answer: C
C
Explanation:
According to the image, ‘E3L’ is a component that connects the Storage Bucket and the SME Validation Action. This implies that ‘E3L’ is responsible for retrieving the documents from the storage and sending them to the SMEs for validation. This is an example of a Human in the Loop (HITL) scenario, where human intervention is required to complete the automation process. Therefore, ‘E3L’ can be considered as a Human in the Loop Performer, which is a role that enables human interaction with the automation solution1.
Reference: Human in the Loop
C
Explanation:
According to the image, ‘E3L’ is a component that connects the Storage Bucket and the SME Validation Action. This implies that ‘E3L’ is responsible for retrieving the documents from the storage and sending them to the SMEs for validation. This is an example of a Human in the Loop (HITL) scenario, where human intervention is required to complete the automation process. Therefore, ‘E3L’ can be considered as a Human in the Loop Performer, which is a role that enables human interaction with the automation solution1.
Reference: Human in the Loop
Question #24
Consider the following business scenario which has to be automated:
Invoices arrive in various mailboxes and their information must be extracted and entered into SAP3
Which architectural approach is best for this?
- A . Design an architecture using UiPath Email activities to monitor emails and delegate the extraction and SAP input tasks to a third-party service that requires manual Input
- B . Design an architecture where each individual mailbox has its dedicated robot to download invoices use Document Understanding to extract required information and use SAP BAPi to input the extracted data into SAP
- C . Manually monitor and forward all the emails containing invokes to a centralized mailbox and then use a rule-based method to input the data into SAP.
- D . Design an architecture utilizing the UiPath Email activities to monitor and retrieve invoices from multiple mailboxes use Document Understanding to extract required information and employ the UiPath SAP activities to input the extracted data into SAP
Correct Answer: D
D
Explanation:
This architectural approach is best for this scenario because it leverages the UiPath Platform capabilities to automate the end-to-end process of invoice processing. It uses the UiPath Email activities to connect to various mailboxes and retrieve the invoices as attachments. It then uses the UiPath Document Understanding framework to classify, extract, and validate the relevant information from the invoices, such as invoice number, date, amount, vendor, etc. It also uses the UiPath SAP activities to connect to the SAP system and input the extracted data into the appropriate fields and transactions. This approach is scalable, reliable, and efficient, as it does not require any manual intervention or third-party service.
Reference: UiPath Automation Solution Architect Learning Plan, Module 4: High-Level Solution Design1; UiPath Automation Suite – Invoice Processing2; UiPath Academy – Roles of a Solution Architect in Automation, RPA Setting3.
D
Explanation:
This architectural approach is best for this scenario because it leverages the UiPath Platform capabilities to automate the end-to-end process of invoice processing. It uses the UiPath Email activities to connect to various mailboxes and retrieve the invoices as attachments. It then uses the UiPath Document Understanding framework to classify, extract, and validate the relevant information from the invoices, such as invoice number, date, amount, vendor, etc. It also uses the UiPath SAP activities to connect to the SAP system and input the extracted data into the appropriate fields and transactions. This approach is scalable, reliable, and efficient, as it does not require any manual intervention or third-party service.
Reference: UiPath Automation Solution Architect Learning Plan, Module 4: High-Level Solution Design1; UiPath Automation Suite – Invoice Processing2; UiPath Academy – Roles of a Solution Architect in Automation, RPA Setting3.
Question #25
In a long-running context what is the status of a job waring for human valuation?
- A . Stopping
- B . Suspended
- C . Running
- D . Stopped
Correct Answer: B
B
Explanation:
In a long-running context, a job can be suspended when it is waiting for human validation or intervention. This means that the job is paused until a human user performs an action, such as approving or rejecting a document, providing some input, or resolving an exception. A suspended job can be resumed by the user or by the orchestrator, depending on the configuration of the process. A suspended job is different from a stopping or stopped job, which means that the job is being terminated or has been terminated by the user or by the orchestrator. A suspended job is also different from a running job, which means that the job is executing normally without any interruption or delay.
Reference: Long-Running Workflows – UiPath Documentation Portal, Managing Jobs – UiPath Documentation Portal, Long Running Workflow – UiPath Activities
B
Explanation:
In a long-running context, a job can be suspended when it is waiting for human validation or intervention. This means that the job is paused until a human user performs an action, such as approving or rejecting a document, providing some input, or resolving an exception. A suspended job can be resumed by the user or by the orchestrator, depending on the configuration of the process. A suspended job is different from a stopping or stopped job, which means that the job is being terminated or has been terminated by the user or by the orchestrator. A suspended job is also different from a running job, which means that the job is executing normally without any interruption or delay.
Reference: Long-Running Workflows – UiPath Documentation Portal, Managing Jobs – UiPath Documentation Portal, Long Running Workflow – UiPath Activities
Question #26
A Solutions Architect is cresting the Solution Design diagram for a transactional process.
The transactions represent invoice Numbers that should be processed sequent it two applications and they are received and formatted as a table in a CSV file.
A transaction Should only be processed once in each application E.g It a System Exception occurs
after invoice ABC was processed m Application 1 when retrying the transaction invoice ABC should
only be processed in Application 2
The following metrics are known:
– Average Transaction Handling Time = 30 seconds
– Average Volume per day = 3500 transactions
Which of the following approaches is the most suitable for the process described above?
A)
B)
C)
D)
- A . Option A
- B . Option B
- C . Option C
- D . Option D
Correct Answer: B
B
Explanation:
Option B is the most suitable approach for the process described above, as it uses the Robotic Enterprise Framework (ReFramework) template with TransactionItem set as DataRow and TransactionData as DataTable. This template provides a robust and scalable structure for transactional processes, with built-in mechanisms for exception handling, logging, retrying, and reporting. By setting the TransactionItem as DataRow and the TransactionData as DataTable, the process can read the invoice numbers from the CSV file and process them one by one in a loop. The template also allows the use of queues to store the transaction data and status, which enables the process to resume from the last successful transaction in case of a system exception. This way, the process can ensure that each invoice number is processed only once in each application, and avoid duplicate or skipped transactions. The template also integrates with UiPath Orchestrator, which provides centralized management, monitoring, and scheduling of the process. The template also supports the use of long-running workflows, which can handle human intervention scenarios using UiPath Action Center. The template also complies with the UiPath Automation Solution Architect best practices and standards, such as naming conventions, modularity, reusability, and maintainability.
Reference:
UiPath Studio – Robotic Enterprise Framework Template
UiPath Studio – Working with Queues in the ReFramework
UiPath Studio – Long Running Workflow Template with UiPath Tasks
[UiPath Automation Solution Architect – Course Overview]
[UiPath Automation Solution Architect – Best Practices and Standards]
B
Explanation:
Option B is the most suitable approach for the process described above, as it uses the Robotic Enterprise Framework (ReFramework) template with TransactionItem set as DataRow and TransactionData as DataTable. This template provides a robust and scalable structure for transactional processes, with built-in mechanisms for exception handling, logging, retrying, and reporting. By setting the TransactionItem as DataRow and the TransactionData as DataTable, the process can read the invoice numbers from the CSV file and process them one by one in a loop. The template also allows the use of queues to store the transaction data and status, which enables the process to resume from the last successful transaction in case of a system exception. This way, the process can ensure that each invoice number is processed only once in each application, and avoid duplicate or skipped transactions. The template also integrates with UiPath Orchestrator, which provides centralized management, monitoring, and scheduling of the process. The template also supports the use of long-running workflows, which can handle human intervention scenarios using UiPath Action Center. The template also complies with the UiPath Automation Solution Architect best practices and standards, such as naming conventions, modularity, reusability, and maintainability.
Reference:
UiPath Studio – Robotic Enterprise Framework Template
UiPath Studio – Working with Queues in the ReFramework
UiPath Studio – Long Running Workflow Template with UiPath Tasks
[UiPath Automation Solution Architect – Course Overview]
[UiPath Automation Solution Architect – Best Practices and Standards]
Question #27
How can UiPath Communications Mining and Document Understanding be combined to optimize data extraction and analysis in an automated business process?
- A . Communications Mining can extract insights from unstructured messages and Document Understanding can obtain hey Information from attached files
- B . Communications Mining can access confidential messages and files and feed the data collected to Document Understanding for analysis
- C . Communications Mining can be Inked directly to the output form Document Understanding to generate summaries of every communication
- D . Communications Mining should be used to reanalyze data extracted by Document Understanding as if it were unstructured messages tor creating analytics
Correct Answer: A
A
Explanation:
UiPath Communications Mining is a platform that uses AI to monitor and automate business communications across different channels, such as email, chat, calls, and tickets. It can extract insights from unstructured messages, such as the reasons for contact, the data fields, and the sentiment. UiPath Document Understanding is a framework that uses AI to process and analyze documents of various formats, such as PDF, Word, Excel, and images. It can obtain key information from attached files, such as the document type, the fields, and the values. By combining Communications Mining and Document Understanding, businesses can optimize data extraction and analysis in an automated business process. For example, a customer service process that involves reading both messages and documents to complete a request can be automated by using Communications Mining to understand the customer’s intent and data from the message, and Document Understanding to extract the relevant information from the document. This way, the process can be faster, more accurate, and more scalable.
Reference: Communications Mining – Overview – UiPath Documentation Portal [Document Understanding – Overview – UiPath Documentation Portal] How and where Communications Mining can be deployed
A
Explanation:
UiPath Communications Mining is a platform that uses AI to monitor and automate business communications across different channels, such as email, chat, calls, and tickets. It can extract insights from unstructured messages, such as the reasons for contact, the data fields, and the sentiment. UiPath Document Understanding is a framework that uses AI to process and analyze documents of various formats, such as PDF, Word, Excel, and images. It can obtain key information from attached files, such as the document type, the fields, and the values. By combining Communications Mining and Document Understanding, businesses can optimize data extraction and analysis in an automated business process. For example, a customer service process that involves reading both messages and documents to complete a request can be automated by using Communications Mining to understand the customer’s intent and data from the message, and Document Understanding to extract the relevant information from the document. This way, the process can be faster, more accurate, and more scalable.
Reference: Communications Mining – Overview – UiPath Documentation Portal [Document Understanding – Overview – UiPath Documentation Portal] How and where Communications Mining can be deployed
Question #28
What can be slated as tactual when it comes to Multi-node HA-ready production deployment?
- A . A multi node HA ready production deployment involves one server node behind a toad balancer
- B . A multi-node HA-ready production deployment involves a single-server node
- C . A multi-node HA-ready production deployment involves 3 or more server nodes behind a toad balancer
- D . A multi-node HA-ready production deployment has a knitted number of agent nodes
Correct Answer: C
C
Explanation:
A multi-node HA-ready production deployment is the only configuration supported for production use by UiPath Automation Suite. It ensures that the cluster can handle increased workloads and demand, as well as provide resilience and availability in case of node failures or disasters. A multi-node HA-ready production deployment requires at least 3 server nodes behind a load balancer, which distributes the incoming requests among the nodes and manages the cluster state. The number of agent nodes, which run the UiPath products and shared components, is optional and depends on the actual usage and capacity. A specialized agent node with GPU support is recommended for running special tasks like Task Mining analysis and Document Understanding pipelines, which require high computational power.
Reference: Automation Suite – Deployment architecture – UiPath, Automation Suite – Manual: Multi-node HA-ready production profile requirements and installation – UiPath.
C
Explanation:
A multi-node HA-ready production deployment is the only configuration supported for production use by UiPath Automation Suite. It ensures that the cluster can handle increased workloads and demand, as well as provide resilience and availability in case of node failures or disasters. A multi-node HA-ready production deployment requires at least 3 server nodes behind a load balancer, which distributes the incoming requests among the nodes and manages the cluster state. The number of agent nodes, which run the UiPath products and shared components, is optional and depends on the actual usage and capacity. A specialized agent node with GPU support is recommended for running special tasks like Task Mining analysis and Document Understanding pipelines, which require high computational power.
Reference: Automation Suite – Deployment architecture – UiPath, Automation Suite – Manual: Multi-node HA-ready production profile requirements and installation – UiPath.
Question #29
What is the difference between ‘Add Transaction Item’ activity and "Add Queue Item’ activity?
- A . The status of the queue item added will ‘Add Transaction Item’ is "New" The status of the queue item added with ‘Add Queue Item’ is "inProgress"
- B . ‘Add Transact-on item" activity stores tie torn locally not in Orchestrate "Add Queue Item’ activity adds the queue Mem to me Orchestrator Queue
- C . The status of the queue item added with ‘Add Transaction Item’ is "InProgress" The status of the queue item added with ‘Add Queue Item’ is "New’
- D . There a no difference between the two activities
Correct Answer: C
C
Explanation:
According to the UiPath documentation1, the Add Transaction Item activity adds a new item in the queue and starts a transaction. The status of the item is set to InProgress. This means that the item is locked for processing by the current robot and cannot be retrieved by other robots until the transaction is completed or abandoned. The Add Transaction Item activity also returns the item as a QueueItem variable, which can be used to access its properties and data. The Add Queue Item activity adds a new item in an Orchestrator queue. The status of the item will be New. This means that the item is available for processing by any robot that uses the Get Transaction Item activity. The Add Queue Item activity does not return the item as a variable, but it allows setting its priority, reference, and deadline. Therefore, the correct answer is C. The status of the queue item added with ‘Add Transaction Item’ is “InProgress” The status of the queue item added with ‘Add Queue Item’ is "New’.
Reference: 1: Queues and Transactions – UiPath Documentation Portal
C
Explanation:
According to the UiPath documentation1, the Add Transaction Item activity adds a new item in the queue and starts a transaction. The status of the item is set to InProgress. This means that the item is locked for processing by the current robot and cannot be retrieved by other robots until the transaction is completed or abandoned. The Add Transaction Item activity also returns the item as a QueueItem variable, which can be used to access its properties and data. The Add Queue Item activity adds a new item in an Orchestrator queue. The status of the item will be New. This means that the item is available for processing by any robot that uses the Get Transaction Item activity. The Add Queue Item activity does not return the item as a variable, but it allows setting its priority, reference, and deadline. Therefore, the correct answer is C. The status of the queue item added with ‘Add Transaction Item’ is “InProgress” The status of the queue item added with ‘Add Queue Item’ is "New’.
Reference: 1: Queues and Transactions – UiPath Documentation Portal
Question #30
How can a user effectively store and query data using Entity Records in UiPath Data Service tor RPA projects?
- A . Store data in fixed Entity Records and leverage cloud storage services to manage queries and data manipulation.
- B . Utilize pre-defined entities and fields to store new data, while relying on queries for data retrieval
- C . Create new Entity Records to store data while using suitable queries to retrieve and manipulate existing records as needed.
- D . Employ a smote query tor all operators including storage and retrieval to avoid complexity n handing Entity Records
Correct Answer: C
C
Explanation:
UiPath Data Service is a cloud-based data platform that enables users to store and manage structured and relational data for their RPA projects. Entity Records are the basic units of data in Data Service, which consist of fields and values that represent a specific object or concept. Users can create custom Entity Records to store data that is relevant to their automation scenarios, such as customer information, order details, invoice data, etc. Users can also use suitable queries to retrieve and manipulate existing Entity Records as needed, such as filtering, sorting, aggregating, updating, or deleting data. Users can also leverage the relationships between Entity Records to access related data across different entities, such as joining, expanding, or embedding data.
Reference: Data Service – Entities – UiPath, Data Service – Queries – UiPath, Data Service – Relationships – UiPath
C
Explanation:
UiPath Data Service is a cloud-based data platform that enables users to store and manage structured and relational data for their RPA projects. Entity Records are the basic units of data in Data Service, which consist of fields and values that represent a specific object or concept. Users can create custom Entity Records to store data that is relevant to their automation scenarios, such as customer information, order details, invoice data, etc. Users can also use suitable queries to retrieve and manipulate existing Entity Records as needed, such as filtering, sorting, aggregating, updating, or deleting data. Users can also leverage the relationships between Entity Records to access related data across different entities, such as joining, expanding, or embedding data.
Reference: Data Service – Entities – UiPath, Data Service – Queries – UiPath, Data Service – Relationships – UiPath
Question #31
What are the differences between rule based and model based extractions?
- A . The rub-based extraction uses methods like regex extractor and form extractor on semi-structured documents while the model based extraction uses the forma Al and machine learning on documents with fixed formal
- B . The model-based extraction is used for documents with a fixed format, relies on regular expressions and templates and ensures high accuracy for already known documents The rule-based extraction is used for semi-structured documents and relies on pre-trained models as we" as on custom models
- C . The rule-based extraction is used for documents with a fixed format relies on rules (like regular expressions) and templates and ensures high accuracy for already known documents The model-based extraction is used tor semi-structured documents and relies on pre-trained models (like invoices receipts purchase orders etc) as well as on custom models
- D . The rule-based extraction uses methods like regex extractor and forms Al. on documents with a fared format, while the model-based extraction uses the machine learning extractor on semi structured documents
Correct Answer: C
C
Explanation:
The rule-based extraction and the model-based extraction are two different methods of data extraction that target different types of documents. The rule-based extraction is suitable for structured documents that have a fixed format and layout, such as forms, tax returns, or certificates. This method relies on rules (such as regular expressions) and templates (such as position or occurrence patterns) to identify and extract the data of interest from the document. The rule-based extraction ensures high accuracy and speed for already known documents, but it requires manual configuration and maintenance of the rules and templates, and it cannot handle variations or changes in the document format. The model-based extraction is suitable for semi-structured documents that have varying formats and layouts, but contain similar types of information, such as invoices, receipts, or purchase orders. This method relies on pre-trained models (such as machine learning or artificial intelligence models) or custom models (such as user-defined models) to analyze and extract the data of interest from the document. The model-based extraction can handle variations and changes in the document format, and it can learn from feedback and improve over time, but it requires training data and validation, and it may not achieve the same level of accuracy and speed as the rule-based extraction for some documents.
Reference: Data Extraction Overview – UiPath Document Understanding Document Processing with Improved Data Extraction | UiPath Document Understanding – Machine Learning Extractor – UiPath
C
Explanation:
The rule-based extraction and the model-based extraction are two different methods of data extraction that target different types of documents. The rule-based extraction is suitable for structured documents that have a fixed format and layout, such as forms, tax returns, or certificates. This method relies on rules (such as regular expressions) and templates (such as position or occurrence patterns) to identify and extract the data of interest from the document. The rule-based extraction ensures high accuracy and speed for already known documents, but it requires manual configuration and maintenance of the rules and templates, and it cannot handle variations or changes in the document format. The model-based extraction is suitable for semi-structured documents that have varying formats and layouts, but contain similar types of information, such as invoices, receipts, or purchase orders. This method relies on pre-trained models (such as machine learning or artificial intelligence models) or custom models (such as user-defined models) to analyze and extract the data of interest from the document. The model-based extraction can handle variations and changes in the document format, and it can learn from feedback and improve over time, but it requires training data and validation, and it may not achieve the same level of accuracy and speed as the rule-based extraction for some documents.
Reference: Data Extraction Overview – UiPath Document Understanding Document Processing with Improved Data Extraction | UiPath Document Understanding – Machine Learning Extractor – UiPath
Question #32
Which of the following phases are part of the UiPath Automation Hub lifecycle?
- A . Idea Qualification Assessment
- B . Analysis Solution Design Tasks Documentation
- C . Qualification, Development Process Map
- D . Assessment Data Gathering Testing
Correct Answer: A
A
Explanation:
UiPath Automation Hub is a cloud-based platform that helps organizations manage their automation pipeline, from ideation to deployment and maintenance. Automation Hub enables users to submit, evaluate, prioritize, and track automation ideas, as well as collaborate with other stakeholders and developers.
The UiPath Automation Hub lifecycle consists of the following phases:
Idea: This is the initial phase where users can submit their automation ideas, either by filling out a form or by using the Task Capture tool to record their manual tasks. Users can also browse and vote for existing ideas, or provide feedback and comments.
Qualification: This is the phase where the automation ideas are assessed and validated by the automation experts, such as business analysts, solution architects, or automation sponsors. The qualification criteria include the feasibility, complexity, impact, and alignment of the automation idea with the business goals and strategy. The qualified ideas are then approved and moved to the next phase.
Assessment: This is the phase where the automation experts perform a detailed analysis of the automation idea, such as defining the scope, requirements, inputs, outputs, exceptions, risks, and dependencies. The assessment also involves estimating the effort, cost, and benefits of the automation, as well as creating a high-level solution design and a process map. The assessed ideas are then prioritized and assigned to the development team.
Development: This is the phase where the developers use UiPath Studio and other tools to build, test, and debug the automation solution, following the best practices and standards. The development also involves creating the documentation, such as the technical specification document, the test cases, and the user guide. The developed automation is then deployed to the testing environment and moved to the next phase.
Testing: This is the phase where the automation solution is tested and validated by the quality assurance team, the business users, and the automation experts, using UiPath Test Suite and other tools. The testing involves verifying the functionality, performance, security, and compliance of the automation, as well as identifying and resolving any defects or issues. The tested automation is then deployed to the production environment and moved to the next phase.
Maintenance: This is the final phase where the automation solution is monitored and maintained by the operations team, using UiPath Orchestrator and other tools. The maintenance involves ensuring the availability, reliability, and scalability of the automation, as well as performing any updates, enhancements, or fixes as needed. The maintenance also involves measuring and reporting the outcomes and benefits of the automation, as well as collecting feedback and suggestions for improvement.
Reference: Automation Hub – Automation Pipeline Management | UiPath, Overview – Product Lifecycle – UiPath, Studio – Automation Lifecycle – UiPath.
A
Explanation:
UiPath Automation Hub is a cloud-based platform that helps organizations manage their automation pipeline, from ideation to deployment and maintenance. Automation Hub enables users to submit, evaluate, prioritize, and track automation ideas, as well as collaborate with other stakeholders and developers.
The UiPath Automation Hub lifecycle consists of the following phases:
Idea: This is the initial phase where users can submit their automation ideas, either by filling out a form or by using the Task Capture tool to record their manual tasks. Users can also browse and vote for existing ideas, or provide feedback and comments.
Qualification: This is the phase where the automation ideas are assessed and validated by the automation experts, such as business analysts, solution architects, or automation sponsors. The qualification criteria include the feasibility, complexity, impact, and alignment of the automation idea with the business goals and strategy. The qualified ideas are then approved and moved to the next phase.
Assessment: This is the phase where the automation experts perform a detailed analysis of the automation idea, such as defining the scope, requirements, inputs, outputs, exceptions, risks, and dependencies. The assessment also involves estimating the effort, cost, and benefits of the automation, as well as creating a high-level solution design and a process map. The assessed ideas are then prioritized and assigned to the development team.
Development: This is the phase where the developers use UiPath Studio and other tools to build, test, and debug the automation solution, following the best practices and standards. The development also involves creating the documentation, such as the technical specification document, the test cases, and the user guide. The developed automation is then deployed to the testing environment and moved to the next phase.
Testing: This is the phase where the automation solution is tested and validated by the quality assurance team, the business users, and the automation experts, using UiPath Test Suite and other tools. The testing involves verifying the functionality, performance, security, and compliance of the automation, as well as identifying and resolving any defects or issues. The tested automation is then deployed to the production environment and moved to the next phase.
Maintenance: This is the final phase where the automation solution is monitored and maintained by the operations team, using UiPath Orchestrator and other tools. The maintenance involves ensuring the availability, reliability, and scalability of the automation, as well as performing any updates, enhancements, or fixes as needed. The maintenance also involves measuring and reporting the outcomes and benefits of the automation, as well as collecting feedback and suggestions for improvement.
Reference: Automation Hub – Automation Pipeline Management | UiPath, Overview – Product Lifecycle – UiPath, Studio – Automation Lifecycle – UiPath.
Question #33
A user is designing a solution lot a business process that uses the following Personal Identifiable Information (Pll):
Employee Name and Employee Date of Birth
Taking into consideration that PH should not be accessible to Database Administrators how should the details be stored in UiPath Orchestrator Queues?
- A . Store Employee Name and Date of Birth as Transaction item Reference and set "Store in encrypted format as True
- B . Store Employee Name and Date of Birth in Transaction item Specific Content and set "Store in encrypted format" as True
- C . Store the Employee Name and Date of Birth in Transaction Item Specific Content
- D . Store Employee Name and Date of Birth as Transaction item Reference so the business users can search by name
Correct Answer: B
B
Explanation:
Personal Identifiable Information (PII) is any data that potentially identifies a specific individual, allows for distinctions to be made between individuals, or could be used to de-anonymize anonymous data1. PII should be handled with care and protected from unauthorized access or disclosure. UiPath Orchestrator Queues are a way to store and process data items for automation projects. Queues have two types of data: Reference and Specific Content. Reference is a unique identifier for the data item, while Specific Content is a collection of key-value pairs that store the actual data2. To store PII in UiPath Orchestrator Queues, the best option is to use Specific Content and enable the “Store in encrypted format” option. This option encrypts the data using AES-256 encryption and prevents anyone, including database administrators, from viewing the data in plain text. Only the robots that have access to the queue can decrypt and process the data3. This ensures the security and privacy of the PII data.
Reference: About Queues and Transactions, Managing Queues in Studio, UiPath for Compliance, a GDPR Automation Solution
B
Explanation:
Personal Identifiable Information (PII) is any data that potentially identifies a specific individual, allows for distinctions to be made between individuals, or could be used to de-anonymize anonymous data1. PII should be handled with care and protected from unauthorized access or disclosure. UiPath Orchestrator Queues are a way to store and process data items for automation projects. Queues have two types of data: Reference and Specific Content. Reference is a unique identifier for the data item, while Specific Content is a collection of key-value pairs that store the actual data2. To store PII in UiPath Orchestrator Queues, the best option is to use Specific Content and enable the “Store in encrypted format” option. This option encrypts the data using AES-256 encryption and prevents anyone, including database administrators, from viewing the data in plain text. Only the robots that have access to the queue can decrypt and process the data3. This ensures the security and privacy of the PII data.
Reference: About Queues and Transactions, Managing Queues in Studio, UiPath for Compliance, a GDPR Automation Solution
Question #34
How can a process be scheduled to start every 15 minutes between 07:00 AM and 06:59 PM from
Monday To Friday?
A)
B)
C)
D)
- A . Option A
- B . Option B
- C . Option C
- D . Option D
Correct Answer: D
D
Explanation:
Option D is the correct answer because it shows the scheduling option using the “Advanced” option. This option allows the user to specify a cron expression that defines the exact time and frequency of the process execution. The cron expression for this scenario is 0 0/15 7-18 ? * MON-FRI *, which means the process will run every 15 minutes starting at 0 minutes past the hour, from 7 AM to 6 PM, on every weekday. The other options are incorrect because they do not match the required schedule. Option A uses the “Hourly” option, which will run the process every hour at 15 minutes past the hour, not every 15 minutes. Option B uses the “Daily” option, which will run the process once a day at 15 minutes past 7 AM, not every 15 minutes. Option C uses the “Weekly” option, which will run the process once a week on Monday at 15 minutes past 7 AM, not every 15 minutes.
Reference: UiPath Automation Solution Architect Learning Plan, Module 5: Operationalization1; UiPath Automation Suite – Scheduling Processes2; UiPath Academy – Roles of a Solution Architect in Automation, RPA Setting3.
D
Explanation:
Option D is the correct answer because it shows the scheduling option using the “Advanced” option. This option allows the user to specify a cron expression that defines the exact time and frequency of the process execution. The cron expression for this scenario is 0 0/15 7-18 ? * MON-FRI *, which means the process will run every 15 minutes starting at 0 minutes past the hour, from 7 AM to 6 PM, on every weekday. The other options are incorrect because they do not match the required schedule. Option A uses the “Hourly” option, which will run the process every hour at 15 minutes past the hour, not every 15 minutes. Option B uses the “Daily” option, which will run the process once a day at 15 minutes past 7 AM, not every 15 minutes. Option C uses the “Weekly” option, which will run the process once a week on Monday at 15 minutes past 7 AM, not every 15 minutes.
Reference: UiPath Automation Solution Architect Learning Plan, Module 5: Operationalization1; UiPath Automation Suite – Scheduling Processes2; UiPath Academy – Roles of a Solution Architect in Automation, RPA Setting3.
Question #35
Consider the following high-level solution diagram:
What activity should be used for implementing me Classification Loop according to UiPath Best Practices?
- A . Which activity
- B . Do While activity
- C . For Each activity
- D . Parallel For Each activity
Correct Answer: C
C
Explanation:
According to UiPath Best Practices, the For Each activity should be used for implementing the Classification Loop in the high-level solution diagram. The For Each activity enables you to iterate through a collection of items and perform an action for each item. In this case, the collection of items would be the invoices from various clients that require processing. The action for each item would be to extract data using the ML model, process the extracted data, update the information in the storage bucket, upload or move the SharePoint files, and add the document path to the processing queue. Alternatively, if the extracted data is not processed, the action would be to create a validation in the Action Center and wait for the SME to review it. The For Each activity is suitable for this scenario because it allows you to process each invoice sequentially and handle any exceptions or validations that may occur. The For Each activity also has a Body property where you can add other activities or invoke workflows that are relevant to the Classification Loop logic.
Reference: For Each – UiPath Activities, Design Best Practices – UiPath Documentation Portal, Automation Solution Architect – UiPath Academy
C
Explanation:
According to UiPath Best Practices, the For Each activity should be used for implementing the Classification Loop in the high-level solution diagram. The For Each activity enables you to iterate through a collection of items and perform an action for each item. In this case, the collection of items would be the invoices from various clients that require processing. The action for each item would be to extract data using the ML model, process the extracted data, update the information in the storage bucket, upload or move the SharePoint files, and add the document path to the processing queue. Alternatively, if the extracted data is not processed, the action would be to create a validation in the Action Center and wait for the SME to review it. The For Each activity is suitable for this scenario because it allows you to process each invoice sequentially and handle any exceptions or validations that may occur. The For Each activity also has a Body property where you can add other activities or invoke workflows that are relevant to the Classification Loop logic.
Reference: For Each – UiPath Activities, Design Best Practices – UiPath Documentation Portal, Automation Solution Architect – UiPath Academy
Question #36
Which scope activity is needed in order to use any document classification algorithm in UiPath Studio?
- A . Train Extractors Scope
- B . Classify Document Scope
- C . Train Classifiers Scope
- D . Data Extraction Scope
Correct Answer: B
B
Explanation:
Option B is the most suitable approach for the process described above, as it uses the Robotic Enterprise Framework (ReFramework) template with TransactionItem set as DataRow and TransactionData as DataTable. This template provides a robust and scalable structure for transactional processes, with built-in mechanisms for exception handling, logging, retrying, and reporting. By setting the TransactionItem as DataRow and the TransactionData as DataTable, the process can read the invoice numbers from the CSV file and process them one by one in a loop. The template also allows the use of queues to store the transaction data and status, which enables the process to resume from the last successful transaction in case of a system exception. This way, the process can ensure that each invoice number is processed only once in each application, and avoid duplicate or skipped transactions. The template also integrates with UiPath Orchestrator, which provides centralized management, monitoring, and scheduling of the process. The template also supports the use of long-running workflows, which can handle human intervention scenarios using UiPath Action Center. The template also complies with the UiPath Automation Solution Architect best practices and standards, such as naming conventions, modularity, reusability, and maintainability.
Reference:
UiPath Studio – Robotic Enterprise Framework Template
UiPath Studio – Working with Queues in the ReFramework
UiPath Studio – Long Running Workflow Template with UiPath Tasks
[UiPath Automation Solution Architect – Course Overview]
[UiPath Automation Solution Architect – Best Practices and Standards]
B
Explanation:
Option B is the most suitable approach for the process described above, as it uses the Robotic Enterprise Framework (ReFramework) template with TransactionItem set as DataRow and TransactionData as DataTable. This template provides a robust and scalable structure for transactional processes, with built-in mechanisms for exception handling, logging, retrying, and reporting. By setting the TransactionItem as DataRow and the TransactionData as DataTable, the process can read the invoice numbers from the CSV file and process them one by one in a loop. The template also allows the use of queues to store the transaction data and status, which enables the process to resume from the last successful transaction in case of a system exception. This way, the process can ensure that each invoice number is processed only once in each application, and avoid duplicate or skipped transactions. The template also integrates with UiPath Orchestrator, which provides centralized management, monitoring, and scheduling of the process. The template also supports the use of long-running workflows, which can handle human intervention scenarios using UiPath Action Center. The template also complies with the UiPath Automation Solution Architect best practices and standards, such as naming conventions, modularity, reusability, and maintainability.
Reference:
UiPath Studio – Robotic Enterprise Framework Template
UiPath Studio – Working with Queues in the ReFramework
UiPath Studio – Long Running Workflow Template with UiPath Tasks
[UiPath Automation Solution Architect – Course Overview]
[UiPath Automation Solution Architect – Best Practices and Standards]
Question #37
Which of the following are Services available within UiPath Automation Cloud?
- A . Process Mining Robot Accounts, Test Manager, Document Understanding
- B . Orchestrator Testing Document Understanding Insights
- C . Orchestrator Test Manager Document Understand, Actions
- D . Orchestrator Document Understanding DefaultTenant Test Manager
Correct Answer: B
B
Explanation:
UiPath Automation Cloud is a cloud-based enterprise automation solution that provides a unified platform for managing all your automation work and resources in one place. It enables you to deploy, operate, and scale your robotic factory in just a few seconds. UiPath Automation Cloud offers various services that you can provision and use within your organization and tenants.
Some of the services available within UiPath Automation Cloud are:
Orchestrator: The core service that enables you to monitor, manage, and control your robots, processes, queues, assets, and environments. Orchestrator also provides APIs, webhooks, and integrations for connecting your automation workflows with other systems and applications.
Testing: A service that allows you to create, execute, and analyze automated tests for your applications and processes. Testing also integrates with Test Manager, a web application that helps you manage your testing projects, test cases, test data, and test results.
Document Understanding: A service that enables you to process and analyze documents of various formats and extract key information from them. Document Understanding also integrates with Actions, a web application that allows you to review, validate, and correct the data extracted by the robots.
Insights: A service that provides analytics and dashboards for measuring and improving the performance and impact of your automation projects. Insights also integrates with Orchestrator and allows you to customize and share your reports and visualizations.
Other services that are available within UiPath Automation Cloud include:
Automation Hub: A service that helps you discover, prioritize, and manage your automation ideas and projects. Automation Hub also integrates with Task Capture, a desktop application that allows you to record and document your business processes.
Apps: A service that enables you to create and run custom business applications that connect to your data and automations. Apps also integrates with Data Service, a cloud database that allows you to store and access your data across your apps and processes.
Process Mining: A service that helps you discover, monitor, and improve your business processes based on data from your systems and applications. Process Mining also integrates with Task Mining, a desktop application that allows you to capture and analyze user activities and behaviors.
Reference: Automation Cloud – About Automation Cloud – UiPath Documentation Portal Automation Cloud – Managing services – UiPath Documentation Portal Complete cloud-based enterprise automation solution | UiPath
B
Explanation:
UiPath Automation Cloud is a cloud-based enterprise automation solution that provides a unified platform for managing all your automation work and resources in one place. It enables you to deploy, operate, and scale your robotic factory in just a few seconds. UiPath Automation Cloud offers various services that you can provision and use within your organization and tenants.
Some of the services available within UiPath Automation Cloud are:
Orchestrator: The core service that enables you to monitor, manage, and control your robots, processes, queues, assets, and environments. Orchestrator also provides APIs, webhooks, and integrations for connecting your automation workflows with other systems and applications.
Testing: A service that allows you to create, execute, and analyze automated tests for your applications and processes. Testing also integrates with Test Manager, a web application that helps you manage your testing projects, test cases, test data, and test results.
Document Understanding: A service that enables you to process and analyze documents of various formats and extract key information from them. Document Understanding also integrates with Actions, a web application that allows you to review, validate, and correct the data extracted by the robots.
Insights: A service that provides analytics and dashboards for measuring and improving the performance and impact of your automation projects. Insights also integrates with Orchestrator and allows you to customize and share your reports and visualizations.
Other services that are available within UiPath Automation Cloud include:
Automation Hub: A service that helps you discover, prioritize, and manage your automation ideas and projects. Automation Hub also integrates with Task Capture, a desktop application that allows you to record and document your business processes.
Apps: A service that enables you to create and run custom business applications that connect to your data and automations. Apps also integrates with Data Service, a cloud database that allows you to store and access your data across your apps and processes.
Process Mining: A service that helps you discover, monitor, and improve your business processes based on data from your systems and applications. Process Mining also integrates with Task Mining, a desktop application that allows you to capture and analyze user activities and behaviors.
Reference: Automation Cloud – About Automation Cloud – UiPath Documentation Portal Automation Cloud – Managing services – UiPath Documentation Portal Complete cloud-based enterprise automation solution | UiPath
Question #38
What ace the Solutions Architects responsibilities in avoiding access delays?
- A . Create an Application Tracker document and ask the Project Manager to document the accesses needed
- B . Request access for themselves the developers and the robots in the UAT phase
- C . Identify and document the accesses needed for themselves, the developers and the robots
- D . Request access for themselves the developers and the robots in the Development phase
Correct Answer: C
C
Explanation:
One of the responsibilities of a Solution Architect is to identify and document the accesses needed for themselves, the developers and the robots to perform the automation tasks. This includes the applications, systems, databases, APIs, credentials, permissions, roles, and security policies that are required for the automation solution. By identifying and documenting the accesses needed, the Solution Architect can avoid access delays that may impact the development, testing, and deployment of the automation solution. The Solution Architect should also communicate and coordinate with the Project Manager, the IT team, and the business stakeholders to ensure that the access requests are approved and granted in a timely manner.
Reference: Roles of a Solution
Architect in Automation, RPA Setting, Automation Suite – Deployment architecture, [UiPath Automation Solution Architect Learning Plan].
Learn more
C
Explanation:
One of the responsibilities of a Solution Architect is to identify and document the accesses needed for themselves, the developers and the robots to perform the automation tasks. This includes the applications, systems, databases, APIs, credentials, permissions, roles, and security policies that are required for the automation solution. By identifying and documenting the accesses needed, the Solution Architect can avoid access delays that may impact the development, testing, and deployment of the automation solution. The Solution Architect should also communicate and coordinate with the Project Manager, the IT team, and the business stakeholders to ensure that the access requests are approved and granted in a timely manner.
Reference: Roles of a Solution
Architect in Automation, RPA Setting, Automation Suite – Deployment architecture, [UiPath Automation Solution Architect Learning Plan].
Learn more
Question #39
What is the functionality of the Jobs History widget horn the Automaton Cloud UI?
- A . Promotes relevant content as per your persona type
- B . Pulls in a real-time feed of the most popular components
- C . Shows the executions you initiated and their status
- D . Provides quick-access cards to your tenants
Correct Answer: C
C
Explanation:
According to the UiPath documentation1, the Jobs History widget is a component of the Automation Cloud UI that shows the executions you initiated and their status. You can use this widget to monitor the progress and outcome of your automation jobs, such as successful, failed, stopped, or pending.
You can also filter the jobs by date range, status, or process name. The Jobs History widget also provides a link to the Orchestrator service where you can view more details and manage your jobs.
Reference: 1: Jobs History Widget – UiPath Documentation Portal
C
Explanation:
According to the UiPath documentation1, the Jobs History widget is a component of the Automation Cloud UI that shows the executions you initiated and their status. You can use this widget to monitor the progress and outcome of your automation jobs, such as successful, failed, stopped, or pending.
You can also filter the jobs by date range, status, or process name. The Jobs History widget also provides a link to the Orchestrator service where you can view more details and manage your jobs.
Reference: 1: Jobs History Widget – UiPath Documentation Portal
Question #40
What is the man purpose of UiPath Apps?
- A . An IDE for creating custom robotic process automation workflows.
- B . To develop and share custom applications using tow-code for automaton
- C . A platform to access and control data in cloud-based systems
- D . To manage and store content in digital file systems
Correct Answer: B
B
Explanation:
UiPath Apps is a platform that enables users to build and share enterprise-grade custom applications that connect to data in any underlying cloud or on-premises system using the power of automation. Users can create apps using a web browser, a rich library of drag-and-drop controls, and automations from the UiPath Platform. UiPath Apps supports APIs, legacy applications, and data sources that are not easily programmable. Users can also run their apps on any device, and integrate them with other UiPath products such as UiPath Assistant, UiPath Automation Hub, and UiPath Process Mining.
Reference: Apps – Introduction – UiPath, Introducing UiPath Apps: A Robot-Powered Low-Code Platform
B
Explanation:
UiPath Apps is a platform that enables users to build and share enterprise-grade custom applications that connect to data in any underlying cloud or on-premises system using the power of automation. Users can create apps using a web browser, a rich library of drag-and-drop controls, and automations from the UiPath Platform. UiPath Apps supports APIs, legacy applications, and data sources that are not easily programmable. Users can also run their apps on any device, and integrate them with other UiPath products such as UiPath Assistant, UiPath Automation Hub, and UiPath Process Mining.
Reference: Apps – Introduction – UiPath, Introducing UiPath Apps: A Robot-Powered Low-Code Platform
Question #41
DRAG DROP
What is the correct flow from a high level design standpoint in UiPath Test Manager1? Instructions: Drag me Description found on the left and drop on Via correct Step Sequence found on the right.
Correct Answer:
Explanation:
The correct flow from a high level design standpoint in UiPath Test Manager1 is:
Step 1 = Create Project
Step 2 = Create Requirement
Step 3 = Create TestCase
Step 4 = Create TestSet
According to the UiPath documentation and the Test Manager Overview Demo1, the high level design flow in UiPath Test Manager1 involves the following steps:
Create Project: A project is a container for all the testing artifacts related to a specific application or process. You can create a project in Test Manager by giving it a name, a description, and a type (RPA or Application). You can also import a project from another source, such as Jira or Azure DevOps 2.
Create Requirement: A requirement is a statement of what the application or process should do or achieve. You can create a requirement in Test Manager by giving it a name, a description, and a custom attribute. You can also import a requirement from another source, such as Jira or Azure DevOps 2.
Create TestCase: A test case is a set of steps or actions that verify a specific requirement. You can create a test case in Test Manager by giving it a name, a description, a type (manual or automated), and a custom attribute. You can also import a test case from another source, such as Studio or Task Capture 2.
Create TestSet: A test set is a collection of test cases that are executed together as part of a testing cycle. You can create a test set in Test Manager by giving it a name, a description, a type (manual or automated), and a custom attribute. You can also import a test set from another source, such as Orchestrator 2.
Reference:
2: UiPath Test Manager – UiPath Documentation Portal
3: Task Capture – UiPath Test Manager – UiPath Documentation Portal
1: Test Manager Overview Demo – Test Automation Case | UiPath
Question #42
What is the purpose of the UiPath Automation Hub within the UiPath ecosystem?
- A . Digitization data integration and management for automations.
- B . Opportunity identification and pipeline management tor automations
- C . Construct process maps and accelerate the adoption of automations
- D . Streamline communications between teams and orchestration of automatons
Correct Answer: B
B
Explanation:
UiPath Automation Hub is a collaborative tool that helps users discover and manage automation
opportunities and process improvements, prioritized by impact and ROI. It also facilitates
collaboration across SMEs, developers, and the CoE, and provides a central repository for process
documentation and reusable components.
Reference: Automation Hub – Automation Pipeline Management | UiPath Automation Hub – Introduction
UiPath Automation Hub Overview | UiPath Academy
B
Explanation:
UiPath Automation Hub is a collaborative tool that helps users discover and manage automation
opportunities and process improvements, prioritized by impact and ROI. It also facilitates
collaboration across SMEs, developers, and the CoE, and provides a central repository for process
documentation and reusable components.
Reference: Automation Hub – Automation Pipeline Management | UiPath Automation Hub – Introduction
UiPath Automation Hub Overview | UiPath Academy
Question #43
When elements of UiPath Automaton Platform are best suited for managing long-running activities in RPA projects?
- A . Queues tasks jobs
- B . Libraries assets triggers
- C . Tenants packages webhooks
- D . Folders, entities permissions
Correct Answer: D
D
Explanation:
Folders, entities and permissions are the elements of UiPath Automation Platform that are best
suited for managing long-running activities in RPA projects. Folders enable the organization and
isolation of data, processes, queues, and other resources within a tenant. Entities are custom data
structures that can store information related to long-running workflows, such as invoices, orders, or
contracts. Permissions control the access and actions that users and robots can perform on folders,
entities, and other resources.
Reference: Folders
Entities
Permissions
D
Explanation:
Folders, entities and permissions are the elements of UiPath Automation Platform that are best
suited for managing long-running activities in RPA projects. Folders enable the organization and
isolation of data, processes, queues, and other resources within a tenant. Entities are custom data
structures that can store information related to long-running workflows, such as invoices, orders, or
contracts. Permissions control the access and actions that users and robots can perform on folders,
entities, and other resources.
Reference: Folders
Entities
Permissions
Question #44
What is the role of the Solution Architect in the creation of the ‘’The Automation Runbook" document?
- A . Uninvolved – there is no Solution Architect involvement in this task
- B . Accountable – ensures the document is approved and delivered
- C . Responsible – creates the document
- D . Constant Censures the document is aligned with the PDD and SDD
Correct Answer: C
C
Explanation:
According to the UiPath Automation Solution Architect Learning Plan, the Solution Architect is responsible for creating the Automation Runbook document, which is a detailed guide for the deployment and maintenance of the automation solution. The Automation Runbook document contains information such as the automation objectives, scope, dependencies, risks, roles and responsibilities, deployment steps, testing scenarios, troubleshooting tips, and support contacts. The Automation Runbook document is created after the Solution Design Document (SDD) and before the deployment of the automation solution.
Reference: UiPath Automation Solution Architect Learning Plan
Automation Suite – Alert Runbooks
Activities – Start Runbook
C
Explanation:
According to the UiPath Automation Solution Architect Learning Plan, the Solution Architect is responsible for creating the Automation Runbook document, which is a detailed guide for the deployment and maintenance of the automation solution. The Automation Runbook document contains information such as the automation objectives, scope, dependencies, risks, roles and responsibilities, deployment steps, testing scenarios, troubleshooting tips, and support contacts. The Automation Runbook document is created after the Solution Design Document (SDD) and before the deployment of the automation solution.
Reference: UiPath Automation Solution Architect Learning Plan
Automation Suite – Alert Runbooks
Activities – Start Runbook
Question #45
Given the blowing Diagram, what is the biggest issue from the perspective of the stops?
- A . Steps 5 and 6 should be merged.
- B . There are no decision points and no explanations on how to handle each situation
- C . Start and End should not be pan of the diagram
- D . Step 7 should not be captured in the high-level Diagram
Correct Answer: B
B
Explanation:
According to the UiPath Automation Solution Architect Learning Plan, a good flowchart should have consistent design elements, clear logic, and appropriate symbols for each step. The flowchart in the question lacks decision points, which are usually represented by diamond shapes, and does not explain how to handle different scenarios or exceptions. For example, what happens if the email is invalid, the CRM login fails, or the user information is incorrect? Without decision points and explanations, the flowchart is incomplete and ambiguous.
Reference: RPA Solution Architect Learning Plan
Importance of Solution Architecture
Flowchart Tips – Five Tips for Better Flowcharts
Keep it simple & follow these flowchart rules for better diagrams Ultimate Flowchart Tutorial
B
Explanation:
According to the UiPath Automation Solution Architect Learning Plan, a good flowchart should have consistent design elements, clear logic, and appropriate symbols for each step. The flowchart in the question lacks decision points, which are usually represented by diamond shapes, and does not explain how to handle different scenarios or exceptions. For example, what happens if the email is invalid, the CRM login fails, or the user information is incorrect? Without decision points and explanations, the flowchart is incomplete and ambiguous.
Reference: RPA Solution Architect Learning Plan
Importance of Solution Architecture
Flowchart Tips – Five Tips for Better Flowcharts
Keep it simple & follow these flowchart rules for better diagrams Ultimate Flowchart Tutorial
Question #46
What is the difference between rule-based and model-based data extraction methodologies?
- A . Rule-based extraction is more computationally intensive whereas model based systems are simpler and require fewer computational resources
- B . Rule-based extraction requires manual data labeling while model-based extraction does not need any label or tracing data
- C . Rule-based extraction relies on predefined rules and patterns, while model-based extraction utilizes machine learning algorithms to automatically identify and extract data
- D . Model-based extraction is only effective for structured data sources whereas rule-based extraction can handle both structured and unstructured data sources seamlessly
Correct Answer: C
C
Explanation:
Rule-based extraction is a technique that applies a set of predefined rules and patterns to extract data from a document. For example, you can use document templates, data position, occurrence patterns, or regular expressions to define the rules. Rule-based extraction is suitable for structured documents, such as forms, that have a fixed format and layout. However, rule-based extraction can be limited by the complexity and variability of the rules, and it may not be able to handle semi-structured or unstructured documents, such as invoices, contracts, or emails, that have different formats, layouts, or data types.
Model-based extraction is a technique that uses machine learning algorithms to automatically learn
and extract data from a document. For example, you can use classification, clustering, or regression algorithms to train a model based on a set of labeled or unlabeled data. Model-based extraction is effective for semi-structured or unstructured documents, such as invoices, contracts, or emails, that have similar types of information but different formats, layouts, or data types. However, model-based extraction can require more computational resources and data preparation, and it may not be as accurate or consistent as rule-based extraction.
Reference: Document Processing with Improved Data Extraction | UiPath Data Extraction Types & Techniques: A Complete Guide
NLP Methods’ Information Extraction for Textual Data: An Analytical …
C
Explanation:
Rule-based extraction is a technique that applies a set of predefined rules and patterns to extract data from a document. For example, you can use document templates, data position, occurrence patterns, or regular expressions to define the rules. Rule-based extraction is suitable for structured documents, such as forms, that have a fixed format and layout. However, rule-based extraction can be limited by the complexity and variability of the rules, and it may not be able to handle semi-structured or unstructured documents, such as invoices, contracts, or emails, that have different formats, layouts, or data types.
Model-based extraction is a technique that uses machine learning algorithms to automatically learn
and extract data from a document. For example, you can use classification, clustering, or regression algorithms to train a model based on a set of labeled or unlabeled data. Model-based extraction is effective for semi-structured or unstructured documents, such as invoices, contracts, or emails, that have similar types of information but different formats, layouts, or data types. However, model-based extraction can require more computational resources and data preparation, and it may not be as accurate or consistent as rule-based extraction.
Reference: Document Processing with Improved Data Extraction | UiPath Data Extraction Types & Techniques: A Complete Guide
NLP Methods’ Information Extraction for Textual Data: An Analytical …
Question #47
How can automated Test Sets be executed?
- A . From both Orchestrator and Test Manager
- B . Only from Orchestrator
- C . From boll Studio and Test Manager
- D . Only from Test Manager
Correct Answer: A
A
Explanation:
Automated Test Sets can be executed from both Orchestrator and Test Manager, depending on the source and type of the test cases. Test Sets that have been linked from Orchestrator can be executed automatically or manually, if they have manual steps defined. Test Sets that have been created in Test Manager can also be executed automatically or manually, if they have test cases linked from Studio or manual steps12.
Reference: Test Suite – Test Sets
Test Suite – Executing Tests
A
Explanation:
Automated Test Sets can be executed from both Orchestrator and Test Manager, depending on the source and type of the test cases. Test Sets that have been linked from Orchestrator can be executed automatically or manually, if they have manual steps defined. Test Sets that have been created in Test Manager can also be executed automatically or manually, if they have test cases linked from Studio or manual steps12.
Reference: Test Suite – Test Sets
Test Suite – Executing Tests
Question #48
When of the following options can be a handoff point between a Robot and a user, that can be managed through UiPath Action Center?
- A . Create new tasks for Robots.
- B . Start or pause Robot process execution.
- C . Handle business process exceptions
- D . Add breakpoints on certain activities
Correct Answer: C
C
Explanation:
UiPath Action Center is a platform that enables human-robot collaboration for unattended automation. It allows users to provide inputs to robots, handle business process exceptions, and initiate unattended processes through form-based input and file upload. Action Center also offers a central portal where users can track and monitor complex workflows across business units, tasks, people, and robots.
Reference: Action Center – Introduction
Human Robot Collaboration – Unattended Automation
Action Center – UiPath
C
Explanation:
UiPath Action Center is a platform that enables human-robot collaboration for unattended automation. It allows users to provide inputs to robots, handle business process exceptions, and initiate unattended processes through form-based input and file upload. Action Center also offers a central portal where users can track and monitor complex workflows across business units, tasks, people, and robots.
Reference: Action Center – Introduction
Human Robot Collaboration – Unattended Automation
Action Center – UiPath
Question #49
What is the UiPath Document Understanding (DU) Process template purpose role?
- A . To allow deploying a new Document Understanding process as an Unattended implementation already tailored to your business use case Further development is optional and only required when the business presents additional requirements. The testing debugging and scaling are easy and the template is bum with the community’s best practices in mmd.
- B . To allow one generic implementation to address all business needs without further development testing and debugging The DU template can be deployed immediately used as is without any performance concerns and following the best practices pertaining to RPA Document Understanding Orchestration Processes and Long-running workflows.
- C . To allow deploying a new Document Understanding process as an Attended implementation already tailored to your business use case making the lasting debugging and scaling easy and following the community best practices II also makes development optional the template being ready for production deployment out of the box (needed only when the business comes with extraordinary requirements)
- D . To allow a seamless start for any new Document Understanding process that is suitable for all use cases, production-ready has a common architecture tor both Attended and Unattended implementations makes development lasting deployment debugging, and scaling easy and follows the best practices pertaining to RPA Document Understanding Orchestration Processes and Long-running workflows
Correct Answer: D
D
Explanation:
The UiPath Document Understanding Process template is a fully functional UiPath Studio project template based on a document processing flowchart. Its aim is to offer a Document Understanding tool at hand that is easy to use and easy to execute for any developer who wants to start working either on a simple demo or on large-scale implementation. The process provides logging, exception handling, retry mechanisms, and all the methods that should be used in a Document Understanding workflow, out of the box. The process is preconfigured with a series of basic document types in a taxonomy, a classifier configured to distinguish between these classes, and extractors to showcase how to use the Data Extraction capabilities of the framework. It is meant to be used as a best practice example that can be adapted to your needs while displaying how to configure each of its components. The workflow has an architecture decoupled from other connected automations: it does not matter where the files to be processed are coming from or what triggers the execution, this is the responsibility of an upstream process; it does not matter where the extracted information should be used, this is the responsibility of a downstream process. The architecture is common for both attended robots and unattended robots running Document Understanding and having human-in-the-loop validation via Action Center. Items are not processed in bulk. Instead, there is one job for each input file. Indeed, a dispatcher is required every time but this flexible approach makes it simpler to get started, to develop, debug, and scale Document Understanding processes. The process supports Visual Basic flavored projects. The default dependencies in a Document Understanding Process are: UiPath.DocumentUnderstanding.ML.Activities, UiPath.Excel.Activities, UiPath.IntelligentOCR.Activities, UiPath.PDF.Activities, UiPath.System.Activities, and UiPath.UIAutomation.Activities. (123)
Reference:
1: Document Understanding Process: Studio Template – UiPath
2: Document Understanding Process: Studio Template
3: Activities – About Document Understanding Process: Studio Template – UiPath
D
Explanation:
The UiPath Document Understanding Process template is a fully functional UiPath Studio project template based on a document processing flowchart. Its aim is to offer a Document Understanding tool at hand that is easy to use and easy to execute for any developer who wants to start working either on a simple demo or on large-scale implementation. The process provides logging, exception handling, retry mechanisms, and all the methods that should be used in a Document Understanding workflow, out of the box. The process is preconfigured with a series of basic document types in a taxonomy, a classifier configured to distinguish between these classes, and extractors to showcase how to use the Data Extraction capabilities of the framework. It is meant to be used as a best practice example that can be adapted to your needs while displaying how to configure each of its components. The workflow has an architecture decoupled from other connected automations: it does not matter where the files to be processed are coming from or what triggers the execution, this is the responsibility of an upstream process; it does not matter where the extracted information should be used, this is the responsibility of a downstream process. The architecture is common for both attended robots and unattended robots running Document Understanding and having human-in-the-loop validation via Action Center. Items are not processed in bulk. Instead, there is one job for each input file. Indeed, a dispatcher is required every time but this flexible approach makes it simpler to get started, to develop, debug, and scale Document Understanding processes. The process supports Visual Basic flavored projects. The default dependencies in a Document Understanding Process are: UiPath.DocumentUnderstanding.ML.Activities, UiPath.Excel.Activities, UiPath.IntelligentOCR.Activities, UiPath.PDF.Activities, UiPath.System.Activities, and UiPath.UIAutomation.Activities. (123)
Reference:
1: Document Understanding Process: Studio Template – UiPath
2: Document Understanding Process: Studio Template
3: Activities – About Document Understanding Process: Studio Template – UiPath
Question #50
What is the primary function of "Field” in Data Service Entities?
- A . Running automaton scripts.
- B . Defining entity metadata.
- C . Optimizing data access and query performance
- D . Enabling relationships between entries
Correct Answer: B
B
Explanation:
The fields of an entity are used to define the attributes and relationships of the entity, such as the name, type, format, and validation rules of each field. The fields can be of different types, such as text, number, date-time, relationship, auto-number, choice set, and file. The fields can also be customized and modified according to the business needs.
Reference: Data Service – Entity Field Types, Data Service – Customizing an Entity
B
Explanation:
The fields of an entity are used to define the attributes and relationships of the entity, such as the name, type, format, and validation rules of each field. The fields can be of different types, such as text, number, date-time, relationship, auto-number, choice set, and file. The fields can also be customized and modified according to the business needs.
Reference: Data Service – Entity Field Types, Data Service – Customizing an Entity