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SPLK-2003 Authorized Pdf - SPLK-2003 Study Materials Review

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Splunk SPLK-2003 certification exam is a comprehensive evaluation of a candidate's knowledge and skills in Splunk Phantom administration. It covers a wide range of topics related to setting up, configuring, and managing Splunk Phantom. Splunk Phantom Certified Admin certification is aimed at IT professionals who are responsible for managing the platform in an enterprise environment and is a valuable credential for those looking to advance their career in the field of security operations and incident response.

To prepare for the Splunk SPLK-2003 exam, candidates can take the Splunk Phantom Certified Admin course, which covers all the topics that are relevant to the exam. This course is available online and includes hands-on exercises and simulations that help candidates develop their skills and knowledge. Candidates can also access various resources, such as official Splunk documentation, whitepapers, and forums, to supplement their learning.

Passing the SPLK-2003 Certification Exam demonstrates that the candidate has the necessary knowledge and skills to effectively manage and support Splunk Phantom deployments. It also indicates that the candidate understands how to use Splunk Phantom to streamline incident response, automate repetitive tasks, and integrate with other security tools.

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Splunk Phantom Certified Admin Sample Questions (Q108-Q113):

NEW QUESTION # 108
Which Phantom API command is used to create a custom list?

  • A. phantom.include_list()
  • B. phantom.new_list()
  • C. phantom.create_list()
  • D. phantom.add_list()

Answer: C

Explanation:
Explanation
The Phantom API command to create a custom list is phantom.create_list(). This command takes a list name and an optional description as parameters and returns a list ID if successful. The other commands are not valid Phantom API commands. phantom.add_list() is a Python function that can be used in custom code blocks to add data to an existing list. Reference, page 5.


NEW QUESTION # 109
When analyzing events a working on a case, significant items can be marked as evidence. Where can ail of a case's evidence items be viewed together?

  • A. At the bottom of the Investigation page widget panel.
  • B. Evidence report.
  • C. Investigation page Evidence tab.
  • D. Workbook page Evidence tab.

Answer: C


NEW QUESTION # 110
Which of the following describes the use of labels m Phantom?

  • A. Labels control which apps are allowed to execute actions on the container.
  • B. Labels determine the service level agreement (SLA) for a container.
  • C. Labels determine which playbook(s) are executed when a container is created.
  • D. Labels control the default seventy, ownership, and sensitivity for the container.

Answer: C

Explanation:
In Splunk Phantom, labels are used to categorize containers and trigger specific automated responses. When a container is created, labels can be assigned to it based on the nature of the event, type of incident, or other criteria. These labels are then matched against playbooks, which have label conditions defined within them.
When the conditions are met, the corresponding playbooks are automatically executed. Labels do not directly control service level agreements, default severity, ownership, sensitivity, or app execution permissions.


NEW QUESTION # 111
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 a second Splunk asset with the second query.
  • C. Enter the two queries in the asset as comma separated values.
  • D. Configure the second query in the Splunk App for SOAR Export.

Answer: B

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.
References:Splunk SOAR documentation on configuring search in Splunk SOAR1.


NEW QUESTION # 112
Which Phantom VPE Nock S used to add information to custom lists?

  • A. Action blocks
  • B. Filter blocks
  • C. API blocks
  • D. Decision blocks

Answer: C

Explanation:
Filter blocks are used to add information to custom lists in Phantom VPE. Filter blocks allow the user to specify a list name and a filter expression to select the data to be added to the list. Action blocks are used to execute app actions, API blocks are used to make REST API calls, and decision blocks are used to evaluate conditions and branch the playbook execution. In the Phantom Visual Playbook Editor (VPE), an API block is used to interact with various external APIs, including custom lists within Phantom. Custom lists are key-value stores that can be used to maintain state, aggregate data, or track information across multiple playbook runs.
API blocks allow the playbook to make GET, POST, PUT, and DELETE requests to these lists, facilitating the addition, retrieval, update, or removal of information. This makes API blocks a versatile tool in managing custom list data within playbooks.


NEW QUESTION # 113
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