Question # 1
| Which of the following queries would return all artifacts that contain a SHA1 file hash? | | A. https:///rest/artifact?_filter_cef_md5_insull=false
| | B. https:///rest/artifact?_filter_cef_Shal_contains=””
| | C. https:///rest/artifact?_filter_cef_shal_insull=False
| | D. https:///rest/artifact?_filter_shal__insull=False |
B. https:// /rest/artifact?_filter_cef_Shal_contains=””
Explanation: To return all artifacts that contain a SHA1 file hash using the Splunk SOAR
REST API, the correct query would use the _filter_cef_Shal_contains parameter. This
parameter filters the artifacts to only those that contain a value in the SHA1 field within the
Common Event Format (CEF) data structure. The contains operator is used to match any
artifacts that have a SHA1 hash present1.
Question # 2
| 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 # 3
| What are the differences between cases and events? | A. Case: potential threats.
Events: identified as a specific kind of problem and need a structured approach. | B. Cases: only include high-level incident artifacts.
Events: only include low-level incident artifacts. | C. Cases: contain a collection of containers.
Events: contain potential threats. | D. Cases: incidents with a known violation and a plan for correction.
Events: occurrences in the system that may require a response. |
C. Cases: contain a collection of containers.
Events: contain potential threats.
Explanation: In Splunk SOAR, an event is a security occurrence that may require a
response. It is ingested from a third-party source and can be labeled to group related
events together. The default label for containers is “Events,” which signifies potential
threats13. A case, on the other hand, is a container that holds several containers,
consolidating multiple events into one logical management unit. Cases can include artifacts
and external evidence such as screen captures, analyst notes, and event data from thirdparty
products22. They are used to manage and analyze investigation data tied to specific
security events and incidents, providing a structured approach to incident response34.
Question # 4
| 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. |
D. Configure the default tenant.
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 multitenancy
operations, allowing for segregated environments within the same SOAR instance,
each tailored to specific operational needs or organizational units.
Question # 5
| 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. |
C. Create artifacts using one playbook and collect those artifacts in another playbook.
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 # 6
| On the Splunk search head, when configuring the app to search SOAR searchable content,
what are the two requirements to complete the app setup? | | A. User accounts and universal forwarder.
| | B. User accounts and an HTTP Event Collector token.
| | C. User accounts and REST API.
| | D. User accounts and syslog. |
B. User accounts and an HTTP Event Collector token.
Explanation: When configuring the Splunk app on the search head to search SOAR
(Splunk's Security Orchestration, Automation, and Response) searchable content, two key
components are required:
User Accounts: The user accounts are necessary to authenticate and authorize
users who are accessing SOAR data through the Splunk app. These accounts
manage permissions and access levels to ensure the proper users can search and
interact with the data coming from SOAR.
HTTP Event Collector (HEC) Token: The HEC token is crucial because it allows
the Splunk app to receive data from Splunk SOAR. SOAR sends events and other
data to the Splunk platform via HEC. This token is used for secure communication
and authentication between Splunk and SOAR. The token must be configured in
the Splunk app to allow it to collect and search SOAR data seamlessly.
Other options like syslog, REST API, or a universal forwarder are commonly used methods
for ingesting data into Splunk but are not specific requirements for setting up the Splunk
app to search SOAR content. The HTTP Event Collector is the primary method for this
setup, along with the correct user accounts.
Question # 7
| 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. |
B. Workbooks guide user activity and coordination during event analysis and case
operations.
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.
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