Question #1
Configuring Phantom search to use an external Splunk server provides which of the following benefits?
- A . The ability to run more complex reports on Phantom activities.
- B . The ability to ingest Splunk notable events into Phantom.
- C . The ability to automate Splunk searches within Phantom.
- D . The ability to display results as Splunk dashboards within Phantom.
Correct Answer: C
C
Explanation:
The correct answer is C because configuring Phantom search to use an external Splunk server allows you to automate Splunk searches within Phantom using the run query action. This action can be used to run any Splunk search command on the external Splunk server and return the results to Phantom. You can also use the format results action to parse the results and use them in other blocks. See Splunk SOAR Documentation for more details.
Configuring Phantom (now known as Splunk SOAR) to use an external Splunk server enhances the automation capabilities within Phantom by allowing the execution of Splunk searches as part of the automation and orchestration processes. This integration facilitates the automation of tasks that involve querying data from Splunk, thereby streamlining security operations and incident response workflows. Splunk SOAR’s ability to integrate with over 300 third-party tools, including Splunk, supports a wide range of automatable actions, thus enabling a more efficient and effective security operations center (SOC) by reducing the time to respond to threats and by making repetitive tasks more manageable
https://www.splunk.com/en_us/products/splunk-security-orchestration-and-automation-features.html
C
Explanation:
The correct answer is C because configuring Phantom search to use an external Splunk server allows you to automate Splunk searches within Phantom using the run query action. This action can be used to run any Splunk search command on the external Splunk server and return the results to Phantom. You can also use the format results action to parse the results and use them in other blocks. See Splunk SOAR Documentation for more details.
Configuring Phantom (now known as Splunk SOAR) to use an external Splunk server enhances the automation capabilities within Phantom by allowing the execution of Splunk searches as part of the automation and orchestration processes. This integration facilitates the automation of tasks that involve querying data from Splunk, thereby streamlining security operations and incident response workflows. Splunk SOAR’s ability to integrate with over 300 third-party tools, including Splunk, supports a wide range of automatable actions, thus enabling a more efficient and effective security operations center (SOC) by reducing the time to respond to threats and by making repetitive tasks more manageable
https://www.splunk.com/en_us/products/splunk-security-orchestration-and-automation-features.html
Question #2
Within the 12A2 design methodology, which of the following most accurately describes the last step?
- A . List of the apps used by the playbook.
- B . List of the actions of the playbook design.
- C . List of the outputs of the playbook design.
- D . List of the data needed to run the playbook.
Correct Answer: C
C
Explanation:
The correct answer is C because the last step of the 12A2 design methodology is to list the outputs of the playbook design. The outputs are the expected results or outcomes of the playbook execution, such as sending an email, creating a ticket, blocking an IP, etc. The outputs should be aligned with the objectives and goals of the playbook. See Splunk SOAR Certified Automation Developer for more details.
The 12A2 design methodology in the context of Splunk SOAR (formerly Phantom) refers to a structured approach to developing playbooks. The last step in this methodology focuses on defining the outputs of the playbook design. This step is crucial as it outlines what the expected results or actions the playbook should achieve upon its completion. These outputs can vary widely, from sending notifications, creating tickets, updating statuses, to generating reports. Defining the outputs is essential for understanding the playbook’s impact on the security operation workflows and how it contributes to resolving security incidents or automating tasks.
C
Explanation:
The correct answer is C because the last step of the 12A2 design methodology is to list the outputs of the playbook design. The outputs are the expected results or outcomes of the playbook execution, such as sending an email, creating a ticket, blocking an IP, etc. The outputs should be aligned with the objectives and goals of the playbook. See Splunk SOAR Certified Automation Developer for more details.
The 12A2 design methodology in the context of Splunk SOAR (formerly Phantom) refers to a structured approach to developing playbooks. The last step in this methodology focuses on defining the outputs of the playbook design. This step is crucial as it outlines what the expected results or actions the playbook should achieve upon its completion. These outputs can vary widely, from sending notifications, creating tickets, updating statuses, to generating reports. Defining the outputs is essential for understanding the playbook’s impact on the security operation workflows and how it contributes to resolving security incidents or automating tasks.
Question #3
Which of the following are the steps required to complete a full backup of a Splunk Phantom deployment’ Assume the commands are executed from /opt/phantom/bin and that no other backups have been made.
- A . On the command line enter: rode sudo python ibackup.pyc –setup, then audo phenv python ibackup.pyc –backup.
- B . On the command line enter: sudo phenv python ibackup.pyc –backup ―backup-type full, then sudo phenv python ibackup.pyc –setup.
- C . Within the UI: Select from the main menu Administration > System Health > Backup.
- D . Within the UI: Select from the main menu Administration > Product Settings > Backup.
Correct Answer: B
B
Explanation:
The correct answer is B because the steps required to complete a full backup of a Splunk Phantom deployment are to first run the –backup –backup-type full command and then run the — setup command. The –backup command creates a backup file in the /opt/phantom/backup directory. The –backup-type full option specifies that the backup file includes all the data and configuration files of the Phantom server. The –setup command creates a configuration file that contains the encryption key and other information needed to restore the backup file. See Splunk SOAR Certified Automation Developer Track for more details.
Performing a full backup of a Splunk Phantom deployment involves using the command-line interface, primarily because Phantom’s architecture and data management processes are designed to be managed at the server level for comprehensive backup and recovery. The correct sequence involves initiating a full backup first using the –backup –backup-type full option to ensure all configurations, data, and necessary components are included in the backup. Following the completion of the backup, the –setup option might be used to configure or verify the backup settings, although typically, the setup would precede backup operations in practical scenarios. This process ensures that all aspects of the Phantom deployment are preserved, including configurations, playbooks, cases, and other data, which is crucial for disaster recovery and system migration.
B
Explanation:
The correct answer is B because the steps required to complete a full backup of a Splunk Phantom deployment are to first run the –backup –backup-type full command and then run the — setup command. The –backup command creates a backup file in the /opt/phantom/backup directory. The –backup-type full option specifies that the backup file includes all the data and configuration files of the Phantom server. The –setup command creates a configuration file that contains the encryption key and other information needed to restore the backup file. See Splunk SOAR Certified Automation Developer Track for more details.
Performing a full backup of a Splunk Phantom deployment involves using the command-line interface, primarily because Phantom’s architecture and data management processes are designed to be managed at the server level for comprehensive backup and recovery. The correct sequence involves initiating a full backup first using the –backup –backup-type full option to ensure all configurations, data, and necessary components are included in the backup. Following the completion of the backup, the –setup option might be used to configure or verify the backup settings, although typically, the setup would precede backup operations in practical scenarios. This process ensures that all aspects of the Phantom deployment are preserved, including configurations, playbooks, cases, and other data, which is crucial for disaster recovery and system migration.
Question #4
An active playbook can be configured to operate on all containers that share which attribute?
- A . Artifact
- B . Label
- C . Tag
- D . Severity
Correct Answer: B
B
Explanation:
The correct answer is B because an active playbook can be configured to operate on all containers that share a label. A label is a user-defined attribute that can be applied to containers to group them by a common characteristic, such as source, type, severity, etc. Labels can be used to filter containers and trigger active playbooks based on the label value. See Splunk SOAR Documentation for more details.
In Splunk SOAR, labels are used to categorize containers (such as incidents or events) based on their characteristics or the type of security issue they represent. An active playbook can be configured to trigger on all containers that share a specific label, enabling targeted automation based on the nature of the incident. This functionality allows for efficient and relevant playbook execution, ensuring that the automated response is tailored to the specific requirements of the container’s category. Labels serve as a powerful organizational tool within SOAR, guiding the automated response framework to act on incidents that meet predefined criteria, thus streamlining the security operations process.
B
Explanation:
The correct answer is B because an active playbook can be configured to operate on all containers that share a label. A label is a user-defined attribute that can be applied to containers to group them by a common characteristic, such as source, type, severity, etc. Labels can be used to filter containers and trigger active playbooks based on the label value. See Splunk SOAR Documentation for more details.
In Splunk SOAR, labels are used to categorize containers (such as incidents or events) based on their characteristics or the type of security issue they represent. An active playbook can be configured to trigger on all containers that share a specific label, enabling targeted automation based on the nature of the incident. This functionality allows for efficient and relevant playbook execution, ensuring that the automated response is tailored to the specific requirements of the container’s category. Labels serve as a powerful organizational tool within SOAR, guiding the automated response framework to act on incidents that meet predefined criteria, thus streamlining the security operations process.
Question #5
Which of the following applies to filter blocks?
- A . Can select which blocks have access to container data.
- B . Can select assets by tenant, approver, or app.
- C . Can be used to select data for use by other blocks.
- D . Can select containers by seventy or status.
Correct Answer: C
C
Explanation:
The correct answer is C because filter blocks can be used to select data for use by other blocks. Filter blocks can filter data from the container, artifacts, or custom lists based on various criteria, such as field name, value, operator, etc. Filter blocks can also join data from multiple sources using the join action. The output of the filter block can be used as input for other blocks, such as decision, format, prompt, etc. See Splunk SOAR Documentation for more details.
Filter blocks within Splunk SOAR playbooks are designed to sift through data and select specific pieces of information based on defined criteria. These blocks are crucial for narrowing down the data that subsequent blocks in a playbook will act upon. By applying filters, a playbook can focus on relevant data, thereby enhancing efficiency and ensuring that actions are taken based on precise, contextually relevant information. This capability is essential for tailoring the playbook’s actions to the specific needs of the incident or workflow, enabling more targeted and effective automation strategies. Filters do not directly select blocks for container data access, choose assets by various administrative criteria, or select containers by attributes like severity or status; their primary function is to refine data within the playbook’s operational context.
C
Explanation:
The correct answer is C because filter blocks can be used to select data for use by other blocks. Filter blocks can filter data from the container, artifacts, or custom lists based on various criteria, such as field name, value, operator, etc. Filter blocks can also join data from multiple sources using the join action. The output of the filter block can be used as input for other blocks, such as decision, format, prompt, etc. See Splunk SOAR Documentation for more details.
Filter blocks within Splunk SOAR playbooks are designed to sift through data and select specific pieces of information based on defined criteria. These blocks are crucial for narrowing down the data that subsequent blocks in a playbook will act upon. By applying filters, a playbook can focus on relevant data, thereby enhancing efficiency and ensuring that actions are taken based on precise, contextually relevant information. This capability is essential for tailoring the playbook’s actions to the specific needs of the incident or workflow, enabling more targeted and effective automation strategies. Filters do not directly select blocks for container data access, choose assets by various administrative criteria, or select containers by attributes like severity or status; their primary function is to refine data within the playbook’s operational context.
Question #6
A user has written a playbook that calls three other playbooks, one after the other. The user notices that the second playbook starts executing before the first one completes.
What is the cause of this behavior?
- A . Incorrect Join configuration on the second playbook.
- B . The first playbook is performing poorly.
- C . The steep option for the second playbook is not set to a long enough interval.
- D . Synchronous execution has not been configured.
Correct Answer: D
D
Explanation:
The correct answer is D because synchronous execution has not been configured. Synchronous execution is a feature that allows you to control the order of execution of playbook blocks. By default, Phantom executes playbook blocks asynchronously, meaning that it does not wait for one block to finish before starting the next one. This can cause problems when you have dependencies between blocks or when you call other playbooks. To enable synchronous execution, you need to use the sync action in the run playbook block and specify the name of the next block to run after the called playbook completes. See Splunk SOAR Documentation for more details.
In Splunk SOAR, playbooks can be executed either synchronously or asynchronously. Synchronous execution ensures that a playbook waits for a called playbook to complete before proceeding to the next step. If the second playbook starts executing before the first one completes, it indicates that synchronous execution was not configured for the playbooks. Without synchronous execution, playbooks will execute independently of each other’s completion status, leading to potential overlaps in execution. This behavior can be controlled by properly configuring the playbook execution settings to ensure that dependent playbooks complete their tasks in the desired order.
D
Explanation:
The correct answer is D because synchronous execution has not been configured. Synchronous execution is a feature that allows you to control the order of execution of playbook blocks. By default, Phantom executes playbook blocks asynchronously, meaning that it does not wait for one block to finish before starting the next one. This can cause problems when you have dependencies between blocks or when you call other playbooks. To enable synchronous execution, you need to use the sync action in the run playbook block and specify the name of the next block to run after the called playbook completes. See Splunk SOAR Documentation for more details.
In Splunk SOAR, playbooks can be executed either synchronously or asynchronously. Synchronous execution ensures that a playbook waits for a called playbook to complete before proceeding to the next step. If the second playbook starts executing before the first one completes, it indicates that synchronous execution was not configured for the playbooks. Without synchronous execution, playbooks will execute independently of each other’s completion status, leading to potential overlaps in execution. This behavior can be controlled by properly configuring the playbook execution settings to ensure that dependent playbooks complete their tasks in the desired order.
Question #7
A customer wants to design a modular and reusable set of playbooks that all communicate with each other.
Which of the following is a best practice for data sharing across playbooks?
- A . Use the py-postgresq1 module to directly save the data in the Postgres database.
- B . Cal the child playbooks getter function.
- C . Create artifacts using one playbook and collect those artifacts in another playbook.
- D . Use the Handle method to pass data directly between playbooks.
Correct Answer: C
C
Explanation:
The correct answer is C because creating artifacts using one playbook and collecting those artifacts in another playbook is a best practice for data sharing across playbooks. Artifacts are data objects that are associated with a container and can be used to store information such as IP addresses, URLs, file hashes, etc. Artifacts can be created using the add artifact action in any playbook block and can be collected using the get artifacts action in the filter block. Artifacts can also be used to trigger active playbooks based on their label or type. See Splunk SOAR Documentation for more details.
In the context of Splunk SOAR, one of the best practices for data sharing across playbooks is to create artifacts in one playbook and use another playbook to collect and utilize those artifacts. Artifacts in Splunk SOAR are structured data related to security incidents (containers) that playbooks can act upon. By creating artifacts in one playbook, you can effectively pass data and context to subsequent playbooks, allowing for modular, reusable, and interconnected playbook designs. This approach promotes efficiency, reduces redundancy, and enhances the playbook’s ability to handle complex workflows.
C
Explanation:
The correct answer is C because creating artifacts using one playbook and collecting those artifacts in another playbook is a best practice for data sharing across playbooks. Artifacts are data objects that are associated with a container and can be used to store information such as IP addresses, URLs, file hashes, etc. Artifacts can be created using the add artifact action in any playbook block and can be collected using the get artifacts action in the filter block. Artifacts can also be used to trigger active playbooks based on their label or type. See Splunk SOAR Documentation for more details.
In the context of Splunk SOAR, one of the best practices for data sharing across playbooks is to create artifacts in one playbook and use another playbook to collect and utilize those artifacts. Artifacts in Splunk SOAR are structured data related to security incidents (containers) that playbooks can act upon. By creating artifacts in one playbook, you can effectively pass data and context to subsequent playbooks, allowing for modular, reusable, and interconnected playbook designs. This approach promotes efficiency, reduces redundancy, and enhances the playbook’s ability to handle complex workflows.
Question #8
Which of the following are examples of things commonly done with the Phantom REST APP
- A . Use Django queries; use curl to create a container and add artifacts to it; remove temporary lists.
- B . Use Django queries; use Docker to create a container and add artifacts to it; remove temporary lists.
- C . Use Django queries; use curl to create a container and add artifacts to it; add action blocks.
- D . Use SQL queries; use curl to create a container and add artifacts to it; remove temporary lists.
Correct Answer: C
C
Explanation:
The Phantom REST API, often interacted with through the Phantom REST APP, is a powerful tool for automating and integrating Splunk SOAR with other systems. Common uses of the Phantom REST APP include using Django queries to interact with the SOAR database, using curl commands to programmatically create containers and add artifacts to them, and configuring action blocks within playbooks for automated actions. This flexibility allows for a wide range of automation and integration possibilities, enhancing the SOAR platform’s capability to respond to security incidents and manage data.
C
Explanation:
The Phantom REST API, often interacted with through the Phantom REST APP, is a powerful tool for automating and integrating Splunk SOAR with other systems. Common uses of the Phantom REST APP include using Django queries to interact with the SOAR database, using curl commands to programmatically create containers and add artifacts to them, and configuring action blocks within playbooks for automated actions. This flexibility allows for a wide range of automation and integration possibilities, enhancing the SOAR platform’s capability to respond to security incidents and manage data.
Question #9
Which of the following are the default ports that must be configured on Splunk to allow connections from Phantom?
- A . SplunkWeb (8088), SplunkD (8089), HTTP Collector (8000)
- B . SplunkWeb (8089), SplunkD (8088), HTTP Collector (8000)
- C . SplunkWeb (8421), SplunkD (8061), HTTP Collector (8798)
- D . SplunkWeb (8000), SplunkD (8089), HTTP Collector (8088)
Correct Answer: D
D
Explanation:
The correct answer is D because the default ports that must be configured on Splunk to allow connections from Phantom are SplunkWeb (8000), SplunkD (8089), and HTTP Collector (8088). SplunkWeb is the port used to access the Splunk web interface. SplunkD is the port used to communicate with the Splunk server. HTTP Collector is the port used to send data to Splunk using the HTTP Event Collector (HEC). These ports must be configured on Splunk and Phantom to enable the integration between the two products. See Splunk SOAR Documentation for more details.
To allow connections from Splunk Phantom to Splunk, certain default ports need to be open and properly configured. The default ports include SplunkWeb (8000) for web access, SplunkD (8089) for Splunk’s management port, and the HTTP Event Collector (HEC) on port 8088, which is used for ingesting data into Splunk. These ports are essential for the communication between Splunk Phantom and Splunk, facilitating data exchange, search capabilities, and the integration of various functionalities between the two platforms.
D
Explanation:
The correct answer is D because the default ports that must be configured on Splunk to allow connections from Phantom are SplunkWeb (8000), SplunkD (8089), and HTTP Collector (8088). SplunkWeb is the port used to access the Splunk web interface. SplunkD is the port used to communicate with the Splunk server. HTTP Collector is the port used to send data to Splunk using the HTTP Event Collector (HEC). These ports must be configured on Splunk and Phantom to enable the integration between the two products. See Splunk SOAR Documentation for more details.
To allow connections from Splunk Phantom to Splunk, certain default ports need to be open and properly configured. The default ports include SplunkWeb (8000) for web access, SplunkD (8089) for Splunk’s management port, and the HTTP Event Collector (HEC) on port 8088, which is used for ingesting data into Splunk. These ports are essential for the communication between Splunk Phantom and Splunk, facilitating data exchange, search capabilities, and the integration of various functionalities between the two platforms.
Question #10
Without customizing container status within Phantom, what are the three types of status for a container?
- A . New, In Progress, Closed
- B . Low, Medium, High
- C . Mew, Open, Resolved
- D . Low, Medium, Critical
Correct Answer: A
A
Explanation:
Within Splunk SOAR, containers (which represent incidents, cases, or events) have a lifecycle that is tracked through their status. The default statuses available without any customization are "New", "In Progress", and "Closed". These statuses help in organizing and managing the incident response process, allowing users to easily track the progress of investigations and responses from initial detection through to resolution.
A
Explanation:
Within Splunk SOAR, containers (which represent incidents, cases, or events) have a lifecycle that is tracked through their status. The default statuses available without any customization are "New", "In Progress", and "Closed". These statuses help in organizing and managing the incident response process, allowing users to easily track the progress of investigations and responses from initial detection through to resolution.
Question #11
Splunk user account(s) with which roles must be created to configure Phantom with an external Splunk Enterprise instance?
- A . superuser, administrator
- B . phantomcreate. phantomedit
- C . phantomsearch, phantomdelete
- D . admin,user
Correct Answer: A
A
Explanation:
When configuring Splunk Phantom to integrate with an external Splunk Enterprise instance, it is typically required to have user accounts with sufficient privileges to access data and perform necessary actions. The roles of "superuser" and "administrator" in Splunk provide the broad set of permissions needed for such integration, enabling comprehensive access to data, management capabilities, and the execution of searches or actions that Phantom may require as part of its automated playbooks or investigations.
A
Explanation:
When configuring Splunk Phantom to integrate with an external Splunk Enterprise instance, it is typically required to have user accounts with sufficient privileges to access data and perform necessary actions. The roles of "superuser" and "administrator" in Splunk provide the broad set of permissions needed for such integration, enabling comprehensive access to data, management capabilities, and the execution of searches or actions that Phantom may require as part of its automated playbooks or investigations.
Question #12
Phantom supports multiple user authentication methods such as LDAP and SAML2.
What other user authentication method is supported?
- A . SAML3
- B . PIV/CAC
- C . Biometrics
- D . OpenID
Correct Answer: B
B
Explanation:
Splunk SOAR supports multiple user authentication methods to ensure secure access to the platform. Apart from LDAP (Lightweight Directory Access Protocol) and SAML2 (Security Assertion Markup Language 2.0), SOAR also supports PIV (Personal Identity Verification) and CAC (Common Access Card) as authentication methods. These are particularly used in government and military organizations for secure and authenticated access to systems, providing a high level of security through physical tokens or cards that contain encrypted user credentials.
B
Explanation:
Splunk SOAR supports multiple user authentication methods to ensure secure access to the platform. Apart from LDAP (Lightweight Directory Access Protocol) and SAML2 (Security Assertion Markup Language 2.0), SOAR also supports PIV (Personal Identity Verification) and CAC (Common Access Card) as authentication methods. These are particularly used in government and military organizations for secure and authenticated access to systems, providing a high level of security through physical tokens or cards that contain encrypted user credentials.
Question #13
During a second test of a playbook, a user receives an error that states: ‘an empty parameters list was passed to phantom.act()."
What does this indicate?
- A . The container has artifacts not parameters.
- B . The playbook is using an incorrect container.
- C . The playbook debugger’s scope is set to new.
- D . The playbook debugger’s scope is set to all.
Correct Answer: A
A
Explanation:
The error message "an empty parameters list was passed to phantom.act()" typically indicates that the action being called by the playbook does not have the required parameters to execute. This can happen if the playbook expects certain data to be present in the container’s artifacts but finds none. Artifacts in Splunk SOAR (Phantom) are data elements associated with a container (such as an event or alert) that playbooks can act upon. If a playbook action is designed to use data from artifacts as parameters and those artifacts are missing or do not contain the expected data, the playbook cannot execute the action properly, leading to this error.
A
Explanation:
The error message "an empty parameters list was passed to phantom.act()" typically indicates that the action being called by the playbook does not have the required parameters to execute. This can happen if the playbook expects certain data to be present in the container’s artifacts but finds none. Artifacts in Splunk SOAR (Phantom) are data elements associated with a container (such as an event or alert) that playbooks can act upon. If a playbook action is designed to use data from artifacts as parameters and those artifacts are missing or do not contain the expected data, the playbook cannot execute the action properly, leading to this error.
Question #14
What does a user need to do to have a container with an event from Splunk use context-aware actions designed for notable events?
- A . Include the notable event’s event_id field and set the artifacts label to aplunk notable event id.
- B . Rename the event_id field from the notable event to splunkNotableEventld.
- C . Include the event_id field in the search results and add a CEF definition to Phantom for event_id, datatype splunk notable event id.
- D . Add a custom field to the container named event_id and set the custom field’s data type to splunk notable event id.
Correct Answer: C
C
Explanation:
For a container in Splunk SOAR to utilize context-aware actions designed for notable events from Splunk, it is crucial to ensure that the notable event’s unique identifier (event_id) is included in the search results pulled into SOAR. Moreover, by adding a Common Event Format (CEF) definition for the event_id field within Phantom, and setting its data type to something that denotes it as a Splunk notable event ID, SOAR can recognize and appropriately handle these identifiers. This setup facilitates the correct mapping and processing of notable event data within SOAR, enabling the execution of context-aware actions that are specifically tailored to the characteristics of Splunk notable events.
C
Explanation:
For a container in Splunk SOAR to utilize context-aware actions designed for notable events from Splunk, it is crucial to ensure that the notable event’s unique identifier (event_id) is included in the search results pulled into SOAR. Moreover, by adding a Common Event Format (CEF) definition for the event_id field within Phantom, and setting its data type to something that denotes it as a Splunk notable event ID, SOAR can recognize and appropriately handle these identifiers. This setup facilitates the correct mapping and processing of notable event data within SOAR, enabling the execution of context-aware actions that are specifically tailored to the characteristics of Splunk notable events.
Question #15
After enabling multi-tenancy, which of the Mowing is the first configuration step?
- A . Select the associated tenant artifacts.
- B . Change the tenant permissions.
- C . Set default tenant base address.
- D . Configure the default tenant.
Correct Answer: D
D
Explanation:
Upon enabling multi-tenancy in Splunk SOAR, the first step in configuration typically involves setting up the default tenant. This foundational step is critical as it establishes the primary operating environment under which subsequent tenants can be created and managed. The default tenant serves as the template for permissions, settings, and configurations that might be inherited or customized by additional tenants. Proper configuration of the default tenant ensures a stable and consistent framework for multi-tenancy operations, allowing for segregated environments within the same SOAR instance, each tailored to specific operational needs or organizational units.
D
Explanation:
Upon enabling multi-tenancy in Splunk SOAR, the first step in configuration typically involves setting up the default tenant. This foundational step is critical as it establishes the primary operating environment under which subsequent tenants can be created and managed. The default tenant serves as the template for permissions, settings, and configurations that might be inherited or customized by additional tenants. Proper configuration of the default tenant ensures a stable and consistent framework for multi-tenancy operations, allowing for segregated environments within the same SOAR instance, each tailored to specific operational needs or organizational units.
Question #16
When configuring a Splunk asset for Phantom to connect to a SplunkC loud instance, the user
discovers that they need to be able to run two different on_poll searches.
How is this possible
- A . Enter the two queries in the asset as comma separated values.
- B . Configure the second query in the Phantom app for Splunk.
- C . Install a second Splunk app and configure the query in the second app.
- D . Configure a second Splunk asset with the second query.
Correct Answer: D
D
Explanation:
In scenarios where there’s a need to run different on_poll searches for a Splunk Cloud instance from Splunk SOAR, configuring a second Splunk asset for the additional query is a practical solution. Splunk SOAR’s architecture allows for multiple assets of the same type to be configured with distinct settings. By setting up a second Splunk asset specifically for the second on_poll search query, users can maintain separate configurations and ensure that each query is executed in its intended context without interference. This approach provides flexibility in managing different data collection or monitoring needs within the same SOAR environment.
D
Explanation:
In scenarios where there’s a need to run different on_poll searches for a Splunk Cloud instance from Splunk SOAR, configuring a second Splunk asset for the additional query is a practical solution. Splunk SOAR’s architecture allows for multiple assets of the same type to be configured with distinct settings. By setting up a second Splunk asset specifically for the second on_poll search query, users can maintain separate configurations and ensure that each query is executed in its intended context without interference. This approach provides flexibility in managing different data collection or monitoring needs within the same SOAR environment.
Question #17
On a multi-tenant Phantom server, what is the default tenant’s ID?
- A . 0
- B . Default
- C . 1
- D . *
Correct Answer: C
C
Explanation:
The correct answer is C because the default tenant’s ID is 1. The tenant ID is a unique identifier for each tenant on a multi-tenant Phantom server. The default tenant is the tenant that is created when Phantom is installed and contains all the existing data and assets. The default tenant’s ID is always 1 and cannot be changed. Other tenants have IDs that are assigned sequentially starting from 2.
See Splunk SOAR Documentation for more details. In a multi-tenant Splunk SOAR environment, the default tenant is typically assigned an ID of 1. This ID is system-generated and is used to uniquely identify the default tenant within the SOAR database and system configurations. The default tenant serves as the primary operational environment before any additional tenants are configured, and its ID is crucial for database operations, API calls, and internal reference within the SOAR platform. Understanding and correctly using tenant IDs is essential for managing resources, permissions, and data access in a multi-tenant SOAR setup.
C
Explanation:
The correct answer is C because the default tenant’s ID is 1. The tenant ID is a unique identifier for each tenant on a multi-tenant Phantom server. The default tenant is the tenant that is created when Phantom is installed and contains all the existing data and assets. The default tenant’s ID is always 1 and cannot be changed. Other tenants have IDs that are assigned sequentially starting from 2.
See Splunk SOAR Documentation for more details. In a multi-tenant Splunk SOAR environment, the default tenant is typically assigned an ID of 1. This ID is system-generated and is used to uniquely identify the default tenant within the SOAR database and system configurations. The default tenant serves as the primary operational environment before any additional tenants are configured, and its ID is crucial for database operations, API calls, and internal reference within the SOAR platform. Understanding and correctly using tenant IDs is essential for managing resources, permissions, and data access in a multi-tenant SOAR setup.
Question #18
What are indicators?
- A . Action result items that determine the flow of execution in a playbook.
- B . Action results that may appear in multiple containers.
- C . Artifact values that can appear in multiple containers.
- D . Artifact values with special security significance.
Correct Answer: C
C
Explanation:
Indicators in Splunk SOAR (formerly Phantom) are crucial elements used to detect and respond to security incidents. Let’s break down what indicators are and their significance:
Definition of Indicators:
Indicators are data points or patterns that suggest the presence of malicious activity or potential security threats.
They can be anything from IP addresses, domain names, file hashes, URLs, email addresses, or other observable artifacts.
Indicators help security teams identify and correlate events across different sources to understand the scope and impact of an incident.
Types of Indicators:
Observable Indicators: These are directly observable artifacts, such as IP addresses, domain names, or file hashes.
Behavioral Indicators: These describe patterns of behavior, such as failed login attempts, lateral movement, or suspicious network traffic.
Contextual Indicators: These provide additional context around an event, such as the user account associated with an action or the time of occurrence.
Use Cases for Indicators:
Threat Detection: Security analysts create rules or playbooks that trigger based on specific indicators.
For example, an indicator like a known malicious IP address can trigger an alert.
Incident Response: During an incident, indicators help identify affected systems, track lateral movement, and prioritize response efforts.
Threat Intelligence Sharing: Organizations share indicators with each other to improve collective security posture.
Multiple Containers:
Indicators can appear in multiple containers (playbooks, actions, etc.) within Splunk SOAR.
For example, an IP address associated with a suspicious domain might appear in both a threat intelligence playbook and an incident response playbook.
Artifact Values vs. Indicators:
While artifact values are related, they are not the same as indicators.
Artifact values represent specific data extracted from an artifact (e.g., extracting an IP address from an email header).
Indicators encompass a broader range of data points and are used for detection and correlation.
Reference: Splunk SOAR Documentation: Indicators
Splunk SOAR Community: Understanding Indicators
C
Explanation:
Indicators in Splunk SOAR (formerly Phantom) are crucial elements used to detect and respond to security incidents. Let’s break down what indicators are and their significance:
Definition of Indicators:
Indicators are data points or patterns that suggest the presence of malicious activity or potential security threats.
They can be anything from IP addresses, domain names, file hashes, URLs, email addresses, or other observable artifacts.
Indicators help security teams identify and correlate events across different sources to understand the scope and impact of an incident.
Types of Indicators:
Observable Indicators: These are directly observable artifacts, such as IP addresses, domain names, or file hashes.
Behavioral Indicators: These describe patterns of behavior, such as failed login attempts, lateral movement, or suspicious network traffic.
Contextual Indicators: These provide additional context around an event, such as the user account associated with an action or the time of occurrence.
Use Cases for Indicators:
Threat Detection: Security analysts create rules or playbooks that trigger based on specific indicators.
For example, an indicator like a known malicious IP address can trigger an alert.
Incident Response: During an incident, indicators help identify affected systems, track lateral movement, and prioritize response efforts.
Threat Intelligence Sharing: Organizations share indicators with each other to improve collective security posture.
Multiple Containers:
Indicators can appear in multiple containers (playbooks, actions, etc.) within Splunk SOAR.
For example, an IP address associated with a suspicious domain might appear in both a threat intelligence playbook and an incident response playbook.
Artifact Values vs. Indicators:
While artifact values are related, they are not the same as indicators.
Artifact values represent specific data extracted from an artifact (e.g., extracting an IP address from an email header).
Indicators encompass a broader range of data points and are used for detection and correlation.
Reference: Splunk SOAR Documentation: Indicators
Splunk SOAR Community: Understanding Indicators
Question #19
Which app allows a user to send Splunk Enterprise Security notable events to Phantom?
- A . Any of the integrated Splunk/Phantom Apps
- B . Splunk App for Phantom Reporting.
- C . Splunk App for Phantom.
- D . Phantom App for Splunk.
Correct Answer: C
C
Explanation:
The Splunk App for Phantom is designed to facilitate the integration between Splunk Enterprise Security and Splunk SOAR (Phantom), enabling the seamless forwarding of notable events from Splunk to Phantom. This app allows users to leverage the analytical and data processing capabilities of Splunk ES and utilize Phantom for automated orchestration and response. The app typically includes mechanisms for specifying which notable events to send to Phantom, formatting the data appropriately, and ensuring secure communication between the two platforms. This integration is crucial for organizations looking to combine the strengths of Splunk’s SIEM capabilities with Phantom’s automation and orchestration features to enhance their security operations.
C
Explanation:
The Splunk App for Phantom is designed to facilitate the integration between Splunk Enterprise Security and Splunk SOAR (Phantom), enabling the seamless forwarding of notable events from Splunk to Phantom. This app allows users to leverage the analytical and data processing capabilities of Splunk ES and utilize Phantom for automated orchestration and response. The app typically includes mechanisms for specifying which notable events to send to Phantom, formatting the data appropriately, and ensuring secure communication between the two platforms. This integration is crucial for organizations looking to combine the strengths of Splunk’s SIEM capabilities with Phantom’s automation and orchestration features to enhance their security operations.
Question #20
Some of the playbooks on the Phantom server should only be executed by members of the admin role.
How can this rule be applied?
- A . Add a filter block to al restricted playbooks that Titters for runRole – "Admin”.
- B . Add a tag with restricted access to the restricted playbooks.
- C . Make sure the Execute Playbook capability is removed from al roles except admin.
- D . Place restricted playbooks in a second source repository that has restricted access.
Correct Answer: C
C
Explanation:
The correct answer is C because the best way to restrict the execution of playbooks to members of the admin role is to make sure the Execute Playbook capability is removed from all roles except admin. The Execute Playbook capability is a permission that allows a user to run any playbook on any container. By default, all roles have this capability, but it can be removed or added in the Phantom UI by going to Administration > User Management > Roles. Removing this capability from all roles except admin will ensure that only admin users can execute playbooks. See Splunk SOAR Documentation for more details. To ensure that only members of the admin role can execute specific playbooks on the Phantom server, the most effective approach is to manage role-based access controls (RBAC) directly. By configuring the system to remove the "Execute Playbook" capability from all roles except for the admin role, you can enforce this rule. This method leverages Phantom’s built-in RBAC mechanisms to restrict playbook execution privileges. It is a straightforward and secure way to ensure that only users with the necessary administrative privileges can initiate the execution of sensitive or critical playbooks, thus maintaining operational security and control.
C
Explanation:
The correct answer is C because the best way to restrict the execution of playbooks to members of the admin role is to make sure the Execute Playbook capability is removed from all roles except admin. The Execute Playbook capability is a permission that allows a user to run any playbook on any container. By default, all roles have this capability, but it can be removed or added in the Phantom UI by going to Administration > User Management > Roles. Removing this capability from all roles except admin will ensure that only admin users can execute playbooks. See Splunk SOAR Documentation for more details. To ensure that only members of the admin role can execute specific playbooks on the Phantom server, the most effective approach is to manage role-based access controls (RBAC) directly. By configuring the system to remove the "Execute Playbook" capability from all roles except for the admin role, you can enforce this rule. This method leverages Phantom’s built-in RBAC mechanisms to restrict playbook execution privileges. It is a straightforward and secure way to ensure that only users with the necessary administrative privileges can initiate the execution of sensitive or critical playbooks, thus maintaining operational security and control.
Question #21
What values can be applied when creating Custom CEF field?
- A . Name
- B . Name, Data Type
- C . Name, Value
- D . Name, Data Type, Severity
Correct Answer: B
B
Explanation:
Custom CEF fields can be created with a name and a data type. The name must be unique and the
data type must be one of the following: string, int, float, bool, or list. The severity is not a valid option for custom CEF fields. See Creating custom CEF fields for more details. When creating Custom Common Event Format (CEF) fields in Splunk SOAR (formerly Phantom), the essential values you need to specify are the "Name" of the field and the "Data Type." The "Name" is the identifier for the field, while the "Data Type" specifies the kind of data the field will hold, such as string, integer, IP address, etc. This combination allows for the structured and accurate representation of data within SOAR, ensuring that custom fields are compatible with the platform’s data processing and analysis mechanisms.
B
Explanation:
Custom CEF fields can be created with a name and a data type. The name must be unique and the
data type must be one of the following: string, int, float, bool, or list. The severity is not a valid option for custom CEF fields. See Creating custom CEF fields for more details. When creating Custom Common Event Format (CEF) fields in Splunk SOAR (formerly Phantom), the essential values you need to specify are the "Name" of the field and the "Data Type." The "Name" is the identifier for the field, while the "Data Type" specifies the kind of data the field will hold, such as string, integer, IP address, etc. This combination allows for the structured and accurate representation of data within SOAR, ensuring that custom fields are compatible with the platform’s data processing and analysis mechanisms.
Question #22
What is enabled if the Logging option for a playbook’s settings is enabled?
- A . More detailed logging information Is available m the Investigation page.
- B . All modifications to the playbook will be written to the audit log.
- C . More detailed information is available in the debug window.
- D . The playbook will write detailed execution information into the spawn.log.
Correct Answer: A
A
Explanation:
In Splunk SOAR (formerly known as Phantom), enabling the Logging option for a playbook’s settings primarily affects how logging information is displayed on the Investigation page. When this option is enabled, more detailed logging information is made available on the Investigation page, which can be crucial for troubleshooting and understanding the execution flow of the playbook. This detailed information can include execution steps, actions taken, and conditional logic paths followed during the playbook run.
It’s important to note that enabling logging does not affect the audit logs or the debug window directly, nor does it write execution details to the spawn.log. Instead, it enhances the visibility and granularity of logs displayed on the specific Investigation page related to the playbook’s execution.
Reference: Splunk Documentation and SOAR User Guides typically outline the impacts of enabling various
settings within the playbook configurations, explaining how these settings affect the operation and logging within the system. For specific references, consulting the latest Splunk SOAR documentation would provide the most accurate and detailed guidance.
Enabling the Logging option for a playbook’s settings in Splunk SOAR indeed affects the level of detail provided on the Investigation page.
Here’s a comprehensive explanation of its impact:
Investigation Page Logging:
The Investigation page serves as a centralized location for reviewing all activities related to an incident or event within Splunk SOAR.
When the Logging option is enabled, it enhances the level of detail available on this page, providing a granular view of the playbook’s execution.
This includes detailed information about each action’s execution, such as parameters used, results obtained, and any conditional logic that was evaluated.
Benefits of Detailed Logging:
Troubleshooting: It becomes easier to diagnose issues within a playbook when you can see a detailed log of its execution.
Incident Analysis: Analysts can better understand the sequence of events and the decisions made by the playbook during an incident.
Playbook Optimization: Developers can use the detailed logs to refine and improve the playbook’s logic and performance.
Non-Impacted Areas:
The audit log, which tracks changes to the playbook itself, is not affected by the Logging option.
The debug window, used for real-time debugging during playbook development, also remains unaffected.
The spawn.log file, which contains internal operational logs for the Splunk SOAR platform, does not receive detailed execution information from playbooks.
Best Practices:
Enable detailed logging during the development and testing phases of a playbook to ensure thorough analysis and debugging.
Consider the potential impact on storage and performance when enabling detailed logging in a
production environment.
Reference: For the most accurate and up-to-date guidance on playbook settings and their effects, I recommend consulting the latest Splunk SOAR documentation and user guides. These resources provide in-depth information on configuring playbooks and understanding the implications of various settings within the Splunk SOAR platform.
In summary, the Logging option is a powerful feature that enhances the visibility of playbook operations on the Investigation page, aiding in incident analysis and ensuring that playbooks are functioning correctly. It is an essential tool for security teams to effectively manage and respond to incidents within their environment.
A
Explanation:
In Splunk SOAR (formerly known as Phantom), enabling the Logging option for a playbook’s settings primarily affects how logging information is displayed on the Investigation page. When this option is enabled, more detailed logging information is made available on the Investigation page, which can be crucial for troubleshooting and understanding the execution flow of the playbook. This detailed information can include execution steps, actions taken, and conditional logic paths followed during the playbook run.
It’s important to note that enabling logging does not affect the audit logs or the debug window directly, nor does it write execution details to the spawn.log. Instead, it enhances the visibility and granularity of logs displayed on the specific Investigation page related to the playbook’s execution.
Reference: Splunk Documentation and SOAR User Guides typically outline the impacts of enabling various
settings within the playbook configurations, explaining how these settings affect the operation and logging within the system. For specific references, consulting the latest Splunk SOAR documentation would provide the most accurate and detailed guidance.
Enabling the Logging option for a playbook’s settings in Splunk SOAR indeed affects the level of detail provided on the Investigation page.
Here’s a comprehensive explanation of its impact:
Investigation Page Logging:
The Investigation page serves as a centralized location for reviewing all activities related to an incident or event within Splunk SOAR.
When the Logging option is enabled, it enhances the level of detail available on this page, providing a granular view of the playbook’s execution.
This includes detailed information about each action’s execution, such as parameters used, results obtained, and any conditional logic that was evaluated.
Benefits of Detailed Logging:
Troubleshooting: It becomes easier to diagnose issues within a playbook when you can see a detailed log of its execution.
Incident Analysis: Analysts can better understand the sequence of events and the decisions made by the playbook during an incident.
Playbook Optimization: Developers can use the detailed logs to refine and improve the playbook’s logic and performance.
Non-Impacted Areas:
The audit log, which tracks changes to the playbook itself, is not affected by the Logging option.
The debug window, used for real-time debugging during playbook development, also remains unaffected.
The spawn.log file, which contains internal operational logs for the Splunk SOAR platform, does not receive detailed execution information from playbooks.
Best Practices:
Enable detailed logging during the development and testing phases of a playbook to ensure thorough analysis and debugging.
Consider the potential impact on storage and performance when enabling detailed logging in a
production environment.
Reference: For the most accurate and up-to-date guidance on playbook settings and their effects, I recommend consulting the latest Splunk SOAR documentation and user guides. These resources provide in-depth information on configuring playbooks and understanding the implications of various settings within the Splunk SOAR platform.
In summary, the Logging option is a powerful feature that enhances the visibility of playbook operations on the Investigation page, aiding in incident analysis and ensuring that playbooks are functioning correctly. It is an essential tool for security teams to effectively manage and respond to incidents within their environment.
Question #23
Is it possible to import external Python libraries such as the time module?
- A . No.
- B . No, but this can be changed by setting the proper permissions.
- C . Yes, in the global block.
- D . Yes. from a drop-down menu.
Correct Answer: C
C
Explanation:
In Splunk SOAR, it is possible to import external Python libraries, such as the time module, within the scope of a playbook’s global code block. The global block allows users to define custom Python code, including imports of standard Python libraries that are included in the Phantom platform’s Python environment. This capability enables the extension of playbooks’ functionality with additional Python logic, making playbooks more powerful and versatile in their operations.
C
Explanation:
In Splunk SOAR, it is possible to import external Python libraries, such as the time module, within the scope of a playbook’s global code block. The global block allows users to define custom Python code, including imports of standard Python libraries that are included in the Phantom platform’s Python environment. This capability enables the extension of playbooks’ functionality with additional Python logic, making playbooks more powerful and versatile in their operations.
Question #24
How can an individual asset action be manually started?
- A . With the > action button in the analyst queue page.
- B . By executing a playbook in the Playbooks section.
- C . With the > action button in the Investigation page.
- D . With the > asset button in the asset configuration section.
Correct Answer: C
C
Explanation:
An individual asset action can be manually started with the > action button in the Investigation page. This allows the user to select an asset and an action to perform on it. The other options are not valid ways to start an asset action manually. See Performing asset actions for more information. Individual asset actions in Splunk SOAR can be manually initiated from the Investigation page of a container.
The "> action" button on this page allows users to execute specific actions associated with assets directly, enabling on-the-fly operations on artifacts or indicators within a container. This feature is particularly useful for ad-hoc analysis and actions, allowing analysts to respond to or investigate specific aspects of an incident without the need for a full playbook.
C
Explanation:
An individual asset action can be manually started with the > action button in the Investigation page. This allows the user to select an asset and an action to perform on it. The other options are not valid ways to start an asset action manually. See Performing asset actions for more information. Individual asset actions in Splunk SOAR can be manually initiated from the Investigation page of a container.
The "> action" button on this page allows users to execute specific actions associated with assets directly, enabling on-the-fly operations on artifacts or indicators within a container. This feature is particularly useful for ad-hoc analysis and actions, allowing analysts to respond to or investigate specific aspects of an incident without the need for a full playbook.
Question #25
What is the default embedded search engine used by Phantom?
- A . Embedded Splunk search engine.
- B . Embedded Phantom search engine.
- C . Embedded Elastic search engine.
- D . Embedded Django search engine.
Correct Answer: A
A
Explanation:
The default embedded search engine used by Splunk SOAR (formerly known as Phantom) is the embedded Splunk search engine.
Here’s a detailed explanation:
Embedded Splunk Search Engine:
Splunk SOAR uses an embedded, preconfigured version of Splunk Enterprise as its native search engine.
This integration allows for powerful searching capabilities within Splunk SOAR, leveraging Splunk’s robust search and indexing features.
Search Configuration:
While the embedded Splunk search engine is the default, organizations have the option to configure Splunk SOAR to use a different Splunk Enterprise deployment or an external Elasticsearch instance.
This flexibility allows organizations to tailor their search infrastructure to their specific needs and existing environments.
Search Capabilities:
The embedded Splunk search engine enables users to perform complex searches, analyze data, and generate reports directly within the Splunk SOAR platform.
It supports the full range of Splunk’s search processing language (SPL) commands, functions, and visualizations.
Reference: Splunk SOAR Documentation: Configure search in Splunk Phantom1.
Splunk SOAR Documentation: Configure search in Splunk SOAR (On-premises)2.
In summary, the embedded Splunk search engine is the default search engine in Splunk SOAR, providing a seamless and powerful search experience for users within the platform.
A
Explanation:
The default embedded search engine used by Splunk SOAR (formerly known as Phantom) is the embedded Splunk search engine.
Here’s a detailed explanation:
Embedded Splunk Search Engine:
Splunk SOAR uses an embedded, preconfigured version of Splunk Enterprise as its native search engine.
This integration allows for powerful searching capabilities within Splunk SOAR, leveraging Splunk’s robust search and indexing features.
Search Configuration:
While the embedded Splunk search engine is the default, organizations have the option to configure Splunk SOAR to use a different Splunk Enterprise deployment or an external Elasticsearch instance.
This flexibility allows organizations to tailor their search infrastructure to their specific needs and existing environments.
Search Capabilities:
The embedded Splunk search engine enables users to perform complex searches, analyze data, and generate reports directly within the Splunk SOAR platform.
It supports the full range of Splunk’s search processing language (SPL) commands, functions, and visualizations.
Reference: Splunk SOAR Documentation: Configure search in Splunk Phantom1.
Splunk SOAR Documentation: Configure search in Splunk SOAR (On-premises)2.
In summary, the embedded Splunk search engine is the default search engine in Splunk SOAR, providing a seamless and powerful search experience for users within the platform.
Question #26
A filter block with only one condition configured which states: artifact.*.cef .sourceAddress !- , would permit which of the following data to pass forward to the next block?
- A . Null IP addresses
- B . Non-null IP addresses
- C . Non-null destinationAddresses
- D . Null values
Correct Answer: B
B
Explanation:
A filter block with only one condition configured which states: artifact.*.cef .sourceAddress !- , would permit only non-null IP addresses to pass forward to the next block. The !- operator means “is not null”. The other options are not valid because they either include null values or other fields than sourceAddress. See Filter block for more details. A filter block in Splunk SOAR that is configured with the condition artifact.*.cef.sourceAddress != (assuming the intention was to use "!=" to denote ‘not equal to’) is designed to allow data that has non-null sourceAddress values to pass through to subsequent blocks. This means that any artifact data within the container that includes a sourceAddress field with a defined value (i.e., an actual IP address) will be permitted to move forward in the playbook. The filter effectively screens out any artifacts that do not have a source address specified, focusing the playbook’s actions on those artifacts that contain valid IP address information in the sourceAddress field.
B
Explanation:
A filter block with only one condition configured which states: artifact.*.cef .sourceAddress !- , would permit only non-null IP addresses to pass forward to the next block. The !- operator means “is not null”. The other options are not valid because they either include null values or other fields than sourceAddress. See Filter block for more details. A filter block in Splunk SOAR that is configured with the condition artifact.*.cef.sourceAddress != (assuming the intention was to use "!=" to denote ‘not equal to’) is designed to allow data that has non-null sourceAddress values to pass through to subsequent blocks. This means that any artifact data within the container that includes a sourceAddress field with a defined value (i.e., an actual IP address) will be permitted to move forward in the playbook. The filter effectively screens out any artifacts that do not have a source address specified, focusing the playbook’s actions on those artifacts that contain valid IP address information in the sourceAddress field.
Question #27
A user wants to get the playbook results for a single artifact.
Which steps will accomplish the?
- A . Use the contextual menu from the artifact and select run playbook.
- B . Use the run playbook dialog and set the scope to the artifact.
- C . Create a new container including Just the artifact in question.
- D . Use the contextual menu from the artifact and select the actions.
Correct Answer: A
A
Explanation:
To get playbook results for a single artifact, a user can utilize the contextual menu option directly from the artifact itself. This method allows for targeted execution of a playbook on just that artifact, facilitating a focused analysis or action based on the data within that specific artifact. This approach is particularly useful when a user needs to drill down into the details of an individual piece of evidence or data point within a larger incident or case, allowing for granular control and execution of playbooks in the Splunk SOAR environment.
A
Explanation:
To get playbook results for a single artifact, a user can utilize the contextual menu option directly from the artifact itself. This method allows for targeted execution of a playbook on just that artifact, facilitating a focused analysis or action based on the data within that specific artifact. This approach is particularly useful when a user needs to drill down into the details of an individual piece of evidence or data point within a larger incident or case, allowing for granular control and execution of playbooks in the Splunk SOAR environment.
Question #28
What is the main purpose of using a customized workbook?
- A . Workbooks automatically implement a customized processing of events using Python code.
- B . Workbooks guide user activity and coordination during event analysis and case operations.
- C . Workbooks apply service level agreements (SLAs) to containers and monitor completion status on the ROI dashboard.
- D . Workbooks may not be customized; only default workbooks are permitted within Phantom.
Correct Answer: B
B
Explanation:
The main purpose of using a customized workbook is to guide user activity and coordination during event analysis and case operations. Workbooks can be customized to include different phases, tasks, and instructions for the users. The other options are not valid purposes of using a customized workbook. See Workbooks for more information.
Customized workbooks in Splunk SOAR are designed to guide users through the process of analyzing events and managing cases. They provide a structured framework for documenting investigations, tracking progress, and ensuring that all necessary steps are followed during incident response and case management. This helps in coordinating team efforts, maintaining consistency in response activities, and ensuring that all aspects of an incident are thoroughly investigated and resolved.
Workbooks can be customized to fit the specific processes and procedures of an organization, making them a versatile tool for managing security operations.
B
Explanation:
The main purpose of using a customized workbook is to guide user activity and coordination during event analysis and case operations. Workbooks can be customized to include different phases, tasks, and instructions for the users. The other options are not valid purposes of using a customized workbook. See Workbooks for more information.
Customized workbooks in Splunk SOAR are designed to guide users through the process of analyzing events and managing cases. They provide a structured framework for documenting investigations, tracking progress, and ensuring that all necessary steps are followed during incident response and case management. This helps in coordinating team efforts, maintaining consistency in response activities, and ensuring that all aspects of an incident are thoroughly investigated and resolved.
Workbooks can be customized to fit the specific processes and procedures of an organization, making them a versatile tool for managing security operations.
Question #29
Which of the following is a step when configuring event forwarding from Splunk to Phantom?
- A . Map CIM to CEF fields.
- B . Create a Splunk alert that uses the event_forward.py script to send events to Phantom.
- C . Map CEF to CIM fields.
- D . Create a saved search that generates the JSON for the new container on Phantom.
Correct Answer: B
B
Explanation:
A step when configuring event forwarding from Splunk to Phantom is to create a Splunk alert that uses the event_forward.py script to send events to Phantom. This script will convert the Splunk events to CEF format and send them to Phantom as containers. The other options are not valid steps for event forwarding. See Forwarding events from Splunk to Phantom for more details.
Configuring event forwarding from Splunk to Phantom typically involves creating a Splunk alert that leverages a script (like event_forward.py) to automatically send triggered event data to Phantom. This setup enables Splunk to act as a detection mechanism that, upon identifying notable events based on predefined criteria, forwards these events to Phantom for further orchestration, automation, and response actions. This integration streamlines the process of incident management by connecting Splunk’s powerful data analysis capabilities with Phantom’s orchestration and automation framework.
B
Explanation:
A step when configuring event forwarding from Splunk to Phantom is to create a Splunk alert that uses the event_forward.py script to send events to Phantom. This script will convert the Splunk events to CEF format and send them to Phantom as containers. The other options are not valid steps for event forwarding. See Forwarding events from Splunk to Phantom for more details.
Configuring event forwarding from Splunk to Phantom typically involves creating a Splunk alert that leverages a script (like event_forward.py) to automatically send triggered event data to Phantom. This setup enables Splunk to act as a detection mechanism that, upon identifying notable events based on predefined criteria, forwards these events to Phantom for further orchestration, automation, and response actions. This integration streamlines the process of incident management by connecting Splunk’s powerful data analysis capabilities with Phantom’s orchestration and automation framework.
Question #30
Which is the primary system requirement that should be increased with heavy usage of the file vault?
- A . Amount of memory.
- B . Number of processors.
- C . Amount of storage.
- D . Bandwidth of network.
Correct Answer: C
C
Explanation:
The primary system requirement that should be increased with heavy usage of the file vault is the amount of storage. The file vault is a secure repository for storing files on Phantom. The more files are stored, the more storage space is needed. The other options are not directly related to the file vault usage. See [File vault] for more information.
Heavy usage of the file vault in Splunk SOAR necessitates an increase in the amount of storage available. The file vault is used to securely store files associated with cases, such as malware samples, logs, and other artifacts relevant to an investigation. As the volume of files and the size of stored data grow, ensuring sufficient storage capacity becomes critical to maintain performance and ensure that all necessary data is retained for analysis and evidence.
C
Explanation:
The primary system requirement that should be increased with heavy usage of the file vault is the amount of storage. The file vault is a secure repository for storing files on Phantom. The more files are stored, the more storage space is needed. The other options are not directly related to the file vault usage. See [File vault] for more information.
Heavy usage of the file vault in Splunk SOAR necessitates an increase in the amount of storage available. The file vault is used to securely store files associated with cases, such as malware samples, logs, and other artifacts relevant to an investigation. As the volume of files and the size of stored data grow, ensuring sufficient storage capacity becomes critical to maintain performance and ensure that all necessary data is retained for analysis and evidence.
Question #31
Which of the following will show all artifacts that have the term results in a filePath CEF value?
- A . …/rest/artifact?_filter_cef_filePath_icontain=”results”
- B . …rest/artifacts/filePath=”%results%”
- C . …/result/artifacts/cef/filePath= ‘%results%”
- D . …/result/artifact?_query_cef_filepath_icontains=”results
Correct Answer: A
A
Explanation:
The correct answer is A because the _filter parameter is used to filter the results based on a field value, and the icontain operator is used to perform a case-insensitive substring match.
The filePath field is part of the Common Event Format (CEF) standard, and the cef_ prefix is used to access CEF fields in the REST API. The answer B is incorrect because it uses the wrong syntax for the REST API. The answer C is incorrect because it uses the wrong endpoint (result instead of artifact) and the wrong syntax for the REST API. The answer D is incorrect because it uses the wrong syntax for the REST API and the wrong spelling for the icontains operator.
Reference: Splunk SOAR REST API Guide, page 18.
To query and display all artifacts that contain the term "results" in a filePath CEF (Common Event Format) value, using the REST API endpoint with a filter parameter is effective. The filter _filter_cef_filePath_icontain="results" is applied to search within the artifact data for filePath fields that contain the term "results", disregarding case sensitivity. This method allows users to precisely locate and work with artifacts that meet specific criteria, aiding in the investigation and analysis processes within Splunk SOAR.
A
Explanation:
The correct answer is A because the _filter parameter is used to filter the results based on a field value, and the icontain operator is used to perform a case-insensitive substring match.
The filePath field is part of the Common Event Format (CEF) standard, and the cef_ prefix is used to access CEF fields in the REST API. The answer B is incorrect because it uses the wrong syntax for the REST API. The answer C is incorrect because it uses the wrong endpoint (result instead of artifact) and the wrong syntax for the REST API. The answer D is incorrect because it uses the wrong syntax for the REST API and the wrong spelling for the icontains operator.
Reference: Splunk SOAR REST API Guide, page 18.
To query and display all artifacts that contain the term "results" in a filePath CEF (Common Event Format) value, using the REST API endpoint with a filter parameter is effective. The filter _filter_cef_filePath_icontain="results" is applied to search within the artifact data for filePath fields that contain the term "results", disregarding case sensitivity. This method allows users to precisely locate and work with artifacts that meet specific criteria, aiding in the investigation and analysis processes within Splunk SOAR.
Question #32
Which of the following can be configured in the ROl Settings?
- A . Analyst hours per month.
- B . Time lost.
- C . Number of full time employees (FTEs).
- D . Annual analyst salary.
Correct Answer: C
C
Explanation:
The ROI (Return on Investment) Settings within Splunk SOAR are designed to help organizations assess the value derived from their use of the platform, particularly in terms of resource allocation and efficiency gains. The setting mentioned in the question, "Number of full time employees (FTEs)," relates directly to measuring this efficiency.
Answer "C" is correct because configuring the number of full-time employees (FTEs) in the ROI settings allows an organization to input and monitor how many personnel are dedicated to security operations managed through SOAR. This setting is crucial for calculating the labor cost associated with incident response and routine security tasks. By understanding the number of FTEs involved, organizations can better assess the labor cost savings provided by automation and orchestration in SOAR. This data helps in quantifying the operational efficiency and the overall impact of SOAR on resource optimization.
In contrast, other options like "Analyst hours per month," "Time lost," and "Annual analyst salary" might seem relevant but are not directly configurable within the ROI settings of Splunk SOAR. These aspects could be indirectly calculated or estimated based on the number of FTEs and other operational metrics but are not directly input as settings in the system.
This use of FTEs in ROI calculations is often discussed in materials related to cybersecurity efficiency metrics and SOAR platform utilization. Official Splunk documentation and best practices guides typically provide insights into how to set up and interpret ROI settings, highlighting the importance of accurate configuration for meaningful analytics.
C
Explanation:
The ROI (Return on Investment) Settings within Splunk SOAR are designed to help organizations assess the value derived from their use of the platform, particularly in terms of resource allocation and efficiency gains. The setting mentioned in the question, "Number of full time employees (FTEs)," relates directly to measuring this efficiency.
Answer "C" is correct because configuring the number of full-time employees (FTEs) in the ROI settings allows an organization to input and monitor how many personnel are dedicated to security operations managed through SOAR. This setting is crucial for calculating the labor cost associated with incident response and routine security tasks. By understanding the number of FTEs involved, organizations can better assess the labor cost savings provided by automation and orchestration in SOAR. This data helps in quantifying the operational efficiency and the overall impact of SOAR on resource optimization.
In contrast, other options like "Analyst hours per month," "Time lost," and "Annual analyst salary" might seem relevant but are not directly configurable within the ROI settings of Splunk SOAR. These aspects could be indirectly calculated or estimated based on the number of FTEs and other operational metrics but are not directly input as settings in the system.
This use of FTEs in ROI calculations is often discussed in materials related to cybersecurity efficiency metrics and SOAR platform utilization. Official Splunk documentation and best practices guides typically provide insights into how to set up and interpret ROI settings, highlighting the importance of accurate configuration for meaningful analytics.
Question #33
Which of the following expressions will output debug information to the debug window in the Visual Playbook Editor?
- A . phantom.debug()
- B . phantom.exception()
- C . phantom.print ()
- D . phantom.assert()
Correct Answer: A
A
Explanation:
The phantom.debug() function is used within Splunk SOAR playbooks to output debug information to the debug window in the Visual Playbook Editor. This function is instrumental in troubleshooting and developing playbooks, as it allows developers to print out variables, messages, or any relevant information that can help in understanding the flow of the playbook, the data being processed, and
any issues that might arise during execution. This debugging tool is essential for ensuring that playbooks are functioning as intended and for diagnosing any problems that may occur.
A
Explanation:
The phantom.debug() function is used within Splunk SOAR playbooks to output debug information to the debug window in the Visual Playbook Editor. This function is instrumental in troubleshooting and developing playbooks, as it allows developers to print out variables, messages, or any relevant information that can help in understanding the flow of the playbook, the data being processed, and
any issues that might arise during execution. This debugging tool is essential for ensuring that playbooks are functioning as intended and for diagnosing any problems that may occur.
Question #34
Which of the following supported approaches enables Phantom to run on a Windows server?
- A . Install the Phantom RPM in a GNU Cygwin implementation.
- B . Run the Phantom OVA as a cloud instance.
- C . Install the Phantom RPM file in Windows Subsystem for Linux (WSL).
- D . Run the Phantom OVA as a virtual machine.
Correct Answer: D
D
Explanation:
Splunk SOAR (formerly Phantom) does not natively run on Windows servers as it is primarily designed for Linux environments. However, it can be deployed on a Windows server through virtualization. By running the Phantom OVA (Open Virtualization Appliance) as a virtual machine, users can utilize virtualization platforms like VMware or VirtualBox on a Windows server to host the Phantom environment. This approach allows for the deployment of Phantom in a Windows-centric infrastructure by leveraging virtualization technology to encapsulate the Phantom application within a supported Linux environment provided by the OVA.
D
Explanation:
Splunk SOAR (formerly Phantom) does not natively run on Windows servers as it is primarily designed for Linux environments. However, it can be deployed on a Windows server through virtualization. By running the Phantom OVA (Open Virtualization Appliance) as a virtual machine, users can utilize virtualization platforms like VMware or VirtualBox on a Windows server to host the Phantom environment. This approach allows for the deployment of Phantom in a Windows-centric infrastructure by leveraging virtualization technology to encapsulate the Phantom application within a supported Linux environment provided by the OVA.
Question #35
Which of the following can the format block be used for?
- A . To generate arrays for input into other functions.
- B . To generate HTML or CSS content for output in email messages, user prompts, or comments.
- C . To generate string parameters for automated action blocks.
- D . To create text strings that merge state text with dynamic values for input or output.
Correct Answer: D
D
Explanation:
The format block in Splunk SOAR is utilized to construct text strings by merging static text with dynamic values, which can then be used for both input to other playbook blocks and output for reports, emails, or other forms of communication. This capability is essential for customizing messages, commands, or data processing tasks within a playbook, allowing for the dynamic insertion of variable data into predefined text templates. This feature enhances the playbook’s ability to present information clearly and to execute actions that require specific parameter formats.
D
Explanation:
The format block in Splunk SOAR is utilized to construct text strings by merging static text with dynamic values, which can then be used for both input to other playbook blocks and output for reports, emails, or other forms of communication. This capability is essential for customizing messages, commands, or data processing tasks within a playbook, allowing for the dynamic insertion of variable data into predefined text templates. This feature enhances the playbook’s ability to present information clearly and to execute actions that require specific parameter formats.