100% PASS 2025 SPLUNK SPLK-2003–VALID VALID BRAINDUMPS

100% Pass 2025 Splunk SPLK-2003–Valid Valid Braindumps

100% Pass 2025 Splunk SPLK-2003–Valid Valid Braindumps

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Splunk SPLK-2003 (Splunk Phantom Certified Admin) certification exam is designed for individuals who want to validate their skills and knowledge in the administration of the Splunk Phantom platform. Splunk Phantom Certified Admin certification is ideal for IT professionals who are responsible for managing and supporting Splunk Phantom deployments, including security analysts, incident responders, and system administrators.

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Splunk Phantom Certified Admin Sample Questions (Q81-Q86):

NEW QUESTION # 81
Why is it good playbook design to create smaller and more focused playbooks? (select all that apply)

  • A. Encourages code reuse in a more compartmentalized form.
  • B. Reduce large complex playbooks which become difficult to maintain.
  • C. To avoid duplication of code across multiple playbooks.
  • D. Reduces amount of playbook data stored in each repo.

Answer: A,B,C


NEW QUESTION # 82
Which of the following expressions will output debug information to the debug window in the Visual Playbook Editor?

  • A. phantom.print ()
  • B. phantom.assert()
  • C. phantom.debug()
  • D. phantom.exception()

Answer: C

Explanation:
Explanation
The correct answer is A because the phantom.debug() function is used to output debug information to the debug window in the Visual Playbook Editor. This function can be useful for troubleshooting and testing playbooks. The answer B is incorrect because the phantom.exception() function is used to output exception information to the debug window in the Visual Playbook Editor. This function can be useful for handling errors and exceptions in playbooks. The answer C is incorrect because the phantom.print() function is used to output information to the standard output stream in the Phantom server. This function can be useful for logging and auditing purposes. The answer D is incorrect because the phantom.assert() function is used to check if a condition is true or false and raise an exception if it is false. This function can be useful for validating inputs and outputs in playbooks. Reference: Splunk SOAR Playbook Development Guide, page 22.


NEW QUESTION # 83
Which of the following can be configured in the ROI Settings?

  • A. Time lost.
  • B. Analyst hours per month.
  • C. Annual analyst salary.
  • D. Number of full time employees (FTEs).

Answer: D

Explanation:
ROI Settings dashboard allows you to configure the parameters used to estimate the data displayed in the Automation ROI Summary dashboard. One of the settings that can be configured is the FTE Gained, which is the number of full time employees (FTEs) that are freed up by automation. To calculate this value, Splunk SOAR divides the number of actions run by automation by the number of expected actions an analyst would take, based on minutes per action and analyst hours per day.


NEW QUESTION # 84
Which of the following can be configured in the ROl Settings?

  • A. Number of full time employees (FTEs).
  • B. Time lost.
  • C. Analyst hours per month.
  • D. Annual analyst salary.

Answer: D

Explanation:
In the ROI (Return on Investment) Settings within Splunk SOAR, one of the configurable parameters is the annual analyst salary. This setting is used to help quantify the cost savings and efficiency gains achieved through the use of SOAR in an organization's security operations. By factoring in the cost of analyst labor, organizations can better assess the financial impact of automating and streamlining security processes with SOAR, contributing to a comprehensive understanding of the solution's value.


NEW QUESTION # 85
When working with complex data paths, which operator is used to access a sub-element inside another element?

  • A. !(pipe)
  • B. *(asterisk)
  • C. :(colon)
  • D. .(dot)

Answer: D

Explanation:
Explanation
The correct answer is D because the dot (.) operator is used to access a sub-element inside another element when working with complex datapaths. For example, if the datapath is container['artifacts'][0]['cef']['sourceAddress'], the dot operator is used to access the sourceAddress sub-element inside the cef element. The answer A is incorrect because the pipe (!) operator is used to chain multiple filters or functions when working with complex datapaths. For example, if the datapath is container['artifacts'][0]['cef']['sourceAddress']!startswith('10.'), the pipe operator is used to apply the startswith function to the sourceAddress element. The answer B is incorrect because the asterisk (*) operator is used to iterate over all the elements of an array when working with complex datapaths. For example, if the datapath is container['artifacts'][*]['cef']['sourceAddress'], the asterisk operator is used to access the sourceAddress element of all the artifacts in the container. The answer C is incorrect because the colon (:) operator is used to specify a range of elements in an array when working with complex datapaths. For example, if the datapath is container['artifacts'][0:5]['cef']['sourceAddress'], the colon operator is used to access the sourceAddress element of the first five artifacts in the container. Reference: Splunk SOAR Playbook Development Guide, page 28.


NEW QUESTION # 86
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