Mulesoft MCIA-Level 1 MuleSoft Certified Integration Architect – Level 1 Online Training
Mulesoft MCIA-Level 1 Online Training
The questions for MCIA-Level 1 were last updated at Jan 28,2025.
- Exam Code: MCIA-Level 1
- Exam Name: MuleSoft Certified Integration Architect - Level 1
- Certification Provider: Mulesoft
- Latest update: Jan 28,2025
An organization has just developed a Mule application that implements a REST API. The mule application will be deployed to a cluster of customer hosted Mule runtimes.
What additional infrastructure component must the customer provide in order to distribute inbound API requests across the Mule runtimes of the cluster?
- A . A message broker
- B . An HTTP Load Balancer
- C . A database
- D . An Object Store
B
Explanation:
Correct answer is An HTTP Load Balancer.
Key thing to note here is that we are deploying application to customer hosted Mule runtime. This means we will need load balancer to route the requests to different instances of the cluster.
Rest all options are distractors and their requirement depends on project use case.
Which productivity advantage does Anypoint Platform have to both implement and manage an AP?
- A . Automatic API proxy generation
- B . Automatic API specification generation
- C . Automatic API semantic versioning
- D . Automatic API governance
An organization is evaluating using the CloudHub shared Load Balancer (SLB) vs creating a CloudHub dedicated load balancer (DLB). They are evaluating how this choice affects the various types of certificates used by CloudHub deplpoyed Mule applications, including MuleSoft-provided, customer-provided, or Mule application-provided certificates.
What type of restrictions exist on the types of certificates that can be exposed by the CloudHub Shared Load Balancer (SLB) to external web clients over the public internet?
- A . Only MuleSoft-provided certificates are exposed.
- B . Only customer-provided wildcard certificates are exposed.
- C . Only customer-provided self-signed certificates are exposed.
- D . Only underlying Mule application certificates are exposed (pass-through)
A
Explanation:
https://docs.mulesoft.com/runtime-manager/dedicated-load-balancer-tutorial
What metrics about API invocations are available for visualization in custom charts using Anypoint Analytics?
- A . Request size, request HTTP verbs, response time
- B . Request size, number of requests, JDBC Select operation result set size
- C . Request size, number of requests, response size, response time
- D . Request size, number of requests, JDBC Select operation response time
C
Explanation:
Correct answer is Request size, number of requests, response size, response time Analytics API Analytics can provide insight into how your APIs are being used and how they are performing. From API Manager, you can access the Analytics dashboard, create a custom dashboard, create and manage charts, and create reports. From API Manager, you can get following types of analytics: – API viewing analytics – API events analytics – Charted metrics in API Manager
It can be accessed using: http://anypoint.mulesoft.com/analytics
API Analytics provides a summary in chart form of requests, top apps, and latency for a particular duration.
The custom dashboard in Anypoint Analytics contains a set of charts for a single API or for all APIs Each chart displays various API characteristics
C Requests size: Line chart representing size of requests in KBs
C Requests: Line chart representing number of requests over a period
C Response size: Line chart representing size of response in KBs
C Response time: Line chart representing response time in ms
* To check this, You can go to API Manager > Analytics > Custom Dashboard > Edit Dashboard > Create Chart > Metric
Graphical user
interface, chart
Description automatically generated
Reference: https://docs.mulesoft.com/monitoring/api-analytics-dashboard
Additional Information:
The default dashboard contains a set of charts
C Requests by date: Line chart representing number of requests
C Requests by location: Map chart showing the number of requests for each country of origin
C Requests by application: Bar chart showing the number of requests from each of the top five registered applications
C Requests by platform: Ring chart showing the number of requests broken down by platform
According to the National Institute of Standards and Technology (NIST), which cloud computing deployment model describes a composition of two or more distinct clouds that support data and application portability?
- A . Private cloud
- B . Hybrid cloud 4
- C . Public cloud
- D . Community cloud
Which Exchange asset type represents configuration modules that extend the functionality of an API and enforce capabilities such as security?
- A . Rulesets
- B . Policies
- C . RESTAPIs
- D . Connectors
What is maximum vCores can be allocated to application deployed to CloudHub?
- A . 1 vCores
- B . 2 vCores
- C . 4 vCores
- D . 16 vCores
Mule applications need to be deployed to CloudHub so they can access on-premises database systems. These systems store sensitive and hence tightly protected data, so are not accessible over the internet.
What network architecture supports this requirement?
- A . An Anypoint VPC connected to the on-premises network using an IPsec tunnel or AWS DirectConnect, plus matching firewall rules in the VPC and on-premises network
- B . Static IP addresses for the Mule applications deployed to the CloudHub Shared Worker Cloud, plus matching firewall rules and IP whitelisting in the on-premises network
- C . An Anypoint VPC with one Dedicated Load Balancer fronting each on-premises database system, plus matching IP whitelisting in the load balancer and firewall rules in the VPC and on-premises network
- D . Relocation of the database systems to a DMZ in the on-premises network, with Mule applications deployed to the CloudHub Shared Worker Cloud connecting only to the DMZ
A
Explanation:
* "Relocation of the database systems to a DMZ in the on-premises network, with Mule applications deployed to the CloudHub Shared Worker Cloud connecting only to the DMZ" is not a feasible option
* "Static IP addresses for the Mule applications deployed to the CloudHub Shared Worker Cloud, plus matching firewall rules and IP whitelisting in the on-premises network" – It is risk for sensitive data. – Even if you whitelist the database IP on your app, your app wont be able to connect to the database so this is also not a feasible option
* "An Anypoint VPC with one Dedicated Load Balancer fronting each on-premises database system, plus matching IP whitelisting in the load balancer and firewall rules in the
VPC and on-premises network" Adding one VPC with a DLB for each backend system also
makes no sense, is way too much work.
Why would you add a LB for one system.
* Correct Answer "An Anypoint VPC connected to the on-premises network using an IPsec tunnel or AWS DirectConnect, plus matching firewall rules in the VPC and on-premises network"
IPsec Tunnel You can use an IPsec tunnel with network-to-network configuration to connect your on-premises data centers to your Anypoint VPC. An IPsec VPN tunnel is generally the recommended solution for VPC to on-premises connectivity, as it provides a standardized, secure way to connect. This method also integrates well with existing IT infrastructure such as routers and appliances.
Reference: https://docs.mulesoft.com/runtime-manager/vpc-connectivity-methods-concept
Diagram
Description automatically generated
A team would like to create a project skeleton that developers can use as a starting point when creating API Implementations with Anypoint Studio. This skeleton should help drive consistent use of best practices within the team.
What type of Anypoint Exchange artifact(s) should be added to Anypoint Exchange to publish the project skeleton?
- A . A custom asset with the default API implementation
- B . A RAML archetype and reusable trait definitions to be reused across API implementations
- C . An example of an API implementation following best practices
- D . a Mule application template with the key components and minimal integration logic
D
Explanation:
* Sharing Mule applications as templates is a great way to share your work with other people who are in your organization in Anypoint Platform. When they need to build a similar application they can create the mule application using the template project from Anypoint studio.
* Anypoint Templates are designed to make it easier and faster to go from a blank canvas to a production application. They’re bit for bit Mule applications requiring only Anypoint Studio to build and design, and are deployable both on-premises and in the cloud.
* Anypoint Templates are based on five common data Integration patterns and can be customized and extended to fit your integration needs. So even if your use case involves different endpoints or connectors than those included in the template, they still offer a great starting point.
Some of the best practices while creating the template project: – Define the common error handler as part of template project, either using pom dependency or mule config file – Define common logger/audit framework as part of the template project – Define the env specific properties and secure properties file as per the requirement – Define global.xml for global configuration – Define the config file for connector configuration like Http,Salesforce,File,FTP etc – Create separate folders to create DWL,Properties,SSL certificates etc – Add the dependency and configure the pom.xml as per the business need – Configure the mule-artifact.json as per the business need
A Mule application contains a Batch Job scope with several Batch Step scopes. The Batch Job scope is configured with a batch block size of 25.
A payload with 4,000 records is received by the Batch Job scope.
When there are no errors, how does the Batch Job scope process records within and between the Batch Step scopes?
- A . The Batch Job scope processes multiple record blocks in parallel, and a block of 25 records can jump ahead to the next Batch Step scope over an earlier block of records Each Batch Step scope is invoked with one record in the payload of the received Mule event
For each Batch Step scope, all 25 records within a block are processed in parallel
All the records in a block must be completed before the block of 25 records is available to the next Batch Step scope - B . The Batch Job scope processes each record block sequentially, one at a time Each Batch Step scope is invoked with one record in the payload of the received Mule event
For each Batch Step scope, all 25 records within a block are processed sequentially, one at a time
All 4000 records must be completed before the blocks of records are available to the next Batch Step scope - C . The Batch Job scope processes multiple record blocks in parallel, and a block of 25 records can jump ahead to the next Batch Step scope over an earlier block of records Each Batch Step scope is invoked with one record in the payload of the received Mule event
For each Batch Step scope, all 25 records within a block are processed sequentially, one record at a time
All the records in a block must be completed before the block of 25 records is available to the next Batch Step scope - D . The Batch Job scope processes multiple record blocks in parallel
Each Batch Step scope is invoked with a batch of 25 records in the payload of the received Mule event
For each Batch Step scope, all 4000 records are processed in parallel
Individual records can jump ahead to the next Batch Step scope before the rest of the records finish processing in the current Batch Step scope
A
Explanation:
Reference: https://docs.mulesoft.com/mule-runtime/4.4/batch-processing-concept
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