Question # 1
| How can more than one user perform tasks in a workbook? | | A. Any user in a role with write access to the case's workbook can be assigned to tasks. | | B. Add the required users to the authorized list for the container. | | C. Any user with a role that has Perform Task enabled can execute tasks for workbooks. | | D. The container owner can assign any authorized user to any task in a workbook. |
C. Any user with a role that has Perform Task enabled can execute tasks for workbooks.
Explanation:
In Splunk SOAR, tasks within workbooks can be performed by any user whose role has the 'Perform Task' capability enabled. This capability is assigned within the role configuration and allows users with the appropriate permissions to execute tasks. It is not limited to users with write access or the container owner; rather, it is based on the specific permissions granted to the role with which the user is associated.
Question # 2
| Some of the playbooks on the SOAR server should only be executed by members of the admin role. How can this rule be applied? | | A. Make sure the Execute Playbook capability is removed from all roles except admin. | | B. Place restricted playbooks in a second source repository that has restricted access. | | C. Add a filter block to all restricted playbooks that filters for runRole = "Admin". | | D. Add a tag with restricted access to the restricted playbooks. |
A. Make sure the Execute Playbook capability is removed from all roles except admin.
Explanation:
To restrict playbook execution to members of the admin role within Splunk SOAR, the 'Execute Playbook' capability must be managed appropriately. This is done by ensuring that this capability is removed from all other roles except the admin role. Role-based access control (RBAC) in Splunk SOAR allows for granular permissions, which means you can configure which roles have the ability to execute playbooks, and by restricting this capability, you can control which users are able to initiate playbook runs.
Question # 3
What is the simplest way to pass data between playbooks?
| A. Action results
| B. File system
| C. Artifacts
| D. KV Store
|
C. Artifacts
Explanation:
The simplest way to pass data between playbooks in Splunk SOAR is through the use of artifacts. Artifacts are objects that can store data and are associated with containers. When multiple playbooks work on a single container, they can access and manipulate the same set of artifacts, allowing for seamless data transfer between playbooks. This method is straightforward and does not require additional setup or management of external storage systems, making it the most direct and efficient way to pass data within the Splunk SOAR environment1.
References:
Passing data between SOAR playbooks - Splunk Lantern
Question # 4
| Regarding the Splunk SOAR Automation Broker requirements, which of the following statements is not correct? | | A. The Splunk SOAR Automation Broker requires outbound/egress connectivity to the Splunk SOAR (Cloud) or Splunk SOAR (On-premises) instance. | | B. The Splunk SOAR Automation Broker must be able to connect to TCP port 443 (HTTPS) on the Splunk SOAR (Cloud) or Splunk SOAR (On-premises) instance. | | C. The Splunk SOAR Automation Broker requires both inbound/ingress and outbound/egress connectivity to the Splunk SOAR (Cloud) or Splunk SOAR (On-premises) instance. | | D. The Splunk SOAR Automation Broker requires inbound/ingress network connection from the Splunk SOAR (Cloud) or Splunk SOAR (On-premises) instance. |
D. The Splunk SOAR Automation Broker requires inbound/ingress network connection from the Splunk SOAR (Cloud) or Splunk SOAR (On-premises) instance.
Explanation:
The Splunk SOAR Automation Broker does not require inbound/ingress network connections from the Splunk SOAR (Cloud) or (On-premises) instance. Instead, it requires only outbound/egress connectivity. The Automation Broker is responsible for securely communicating with SOAR to execute actions, retrieve data, and send results, but this communication is initiated from the Automation Broker towards SOAR, using outbound connections (typically over TCP port 443). This ensures that no inbound connections need to be established, which simplifies firewall and security configurations.
Question # 5
| 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. |
B. Create a Splunk alert that uses the event_forward.py script to send events to Phantom.
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 # 6
| How can the debug log for a playbook execution be viewed? | | A. On the Investigation page, select Debug Log from the playbook's action menu in the Recent Activity panel. | | B. Click Expand Scope m the debug window. | | C. In Administration > System Health > Playbook Run History, select the playbook execution entry, then select Log. | | D. Open the playbook in the Visual Playbook Editor, and select Debug Logs in Settings. |
A. On the Investigation page, select Debug Log from the playbook's action menu in the Recent Activity panel.
Explanation:
Debug logs are essential for troubleshooting and understanding the execution flow of a playbook in Splunk Phantom. The debug log for a playbook execution can be viewed by navigating to the Investigation page of a specific event or container. Within the Recent Activity panel, there is an action menu associated with each playbook run. Selecting "Debug Log" from this menu will display the detailed execution log, showing each action taken, the results of those actions, and any errors or messages generated during the playbook run.
Question # 7
| When configuring a Splunk asset for SOAR to connect to a Splunk Cloud instance, the user discovers that they need to be able to run two different on_poll searches. How is this possible? | | A. Install a second Splunk app and configure the query in the second app. | | B. Configure the second query in the Splunk App for SOAR Export. | | C. Enter the two queries in the asset as comma separated values. | | D. Configure a second Splunk asset with the second query. |
D. Configure a second Splunk asset with the second query.
Explanation:
In Splunk SOAR, when needing to run multiple on_poll searches to a Splunk Cloud instance, the recommended approach is to configure a second Splunk asset specifically for the second query. This method allows each Splunk asset to maintain its own settings and query configurations, ensuring that each search can be managed and optimized independently. This separation also helps in troubleshooting and maintaining clarity in the configuration.
Option A, installing a second Splunk app, is not necessarily relevant as the app itself does not determine the number of queries but rather how they are managed and processed through assets.
Option B, configuring the second query in the Splunk App for SOAR Export, does not apply as this app typically handles data exportation from SOAR to Splunk, not managing multiple polling queries.
Option C, entering the two queries as comma-separated values, would not be practical or functional as Splunk SOAR’s asset configuration does not process multiple queries in this manner for polling purposes.
When configuring a Splunk asset for SOAR to connect to a Splunk Cloud instance and there is a need to run two different on_poll searches, the appropriate action is to configure a second Splunk asset with the second query. This allows each Splunk asset to have its own unique on_poll search configuration, enabling them to run independently and retrieve different sets of data as required. The other options, such as installing a second app or entering queries as comma-separated values, are not standard practices for managing multiple on_poll searches in Splunk SOAR1.
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