REAL SPLUNK SPLK-2003 EXAM QUESTIONS, SPLK-2003 VALID TEST BLUEPRINT

Real Splunk SPLK-2003 Exam Questions, SPLK-2003 Valid Test Blueprint

Real Splunk SPLK-2003 Exam Questions, SPLK-2003 Valid Test Blueprint

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The Splunk Phantom Certified Admin certification exam consists of 60 multiple-choice questions that need to be completed within 90 minutes. The passing score for the exam is 70%. SPLK-2003 exam is available in English, Japanese, and Simplified Chinese. SPLK-2003 Exam Fee is $200 USD, and it can be taken online from anywhere in the world. Splunk Phantom Certified Admin certification is valid for two years, after which the candidate needs to retake the exam to maintain their certification status.

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Splunk Phantom Certified Admin Sample Questions (Q69-Q74):

NEW QUESTION # 69
What metrics can be seen from the System Health Display? (select all that apply)

  • A. Playbook Usage
  • B. Load Average
  • C. Memory Usage
  • D. Disk Usage

Answer: B,C,D

Explanation:
System Health Display is a dashboard that shows the status and performance of the SOAR processes and components, such as the automation service, the playbook daemon, the DECIDED process, and the REST API. Some of the metrics that can be seen from the System Health Display are:
*Memory Usage: The percentage of memory used by the system and the processes.
*Disk Usage: The percentage of disk space used by the system and the processes.
*Load Average: The average number of processes in the run queue or waiting for disk I/O over a period of time.
Therefore, options B, C, and D are the correct answers, as they are the metrics that can be seen from the System Health Display. Option A is incorrect, because Playbook Usage is not a metric that can be seen from the System Health Display, but rather a metric that can be seen from the Playbook Usage dashboard, which shows the number of playbooks and actions run over a period of time.
1: Web search results from search_web(query="Splunk SOAR Automation Developer System Health Display") The System Health Display in Splunk SOAR provides several metrics to help monitor and manage the health of the system. These typically include:
*B: Memory Usage - This metric shows the amount of memory being used by the SOAR platform, which is important for ensuring that the system does not exceed available resources.
*C: Disk Usage - This metric indicates the amount of storage space being utilized, which is crucial for maintaining adequate storage resources and for planning capacity.
*D: Load Average - This metric provides an indication of the overall load on the system over a period of time, which helps in understanding the system's performance and in identifying potential bottlenecks or issues.
Playbook Usage is generally not a metric displayed on the System Health page; instead, it's more related to the usage analytics of playbooks rather than system health metrics.


NEW QUESTION # 70
If no data matches any filter conditions, what is the next block run by the playbook?

  • A. The end block.
  • B. The next block.
  • C. The filter block.
  • D. The start block.

Answer: B

Explanation:
In a Splunk SOAR playbook, if no data matches the conditions specified within a filter block, the playbook execution will proceed to the next block that is configured to follow the filter block. The
"next block" refers to whatever action or decision block is designed to be next in the sequence according to the playbook's logic.
Filters in Splunk SOAR are used to make decisions based on data conditions, and they control the flow of the playbook. If the conditions in a filter block are not met, the playbook does not simply end or restart; rather, it continues to execute the subsequent blocks that have been set up to handle situations where the filter conditions are not met.
A filter block will typically have different paths for different outcomes--matching and non- matching. If the conditions are matched, one set of blocks will execute, and if not, another set of blocks, which could simply be the next one in the sequence, will execute. This allows for complex logic and branching within the playbook to handle a wide range of scenarios.
In a Splunk SOAR playbook, when no data matches any filter conditions, the playbook continues to run by proceeding to the next block in the sequence. The filter block is designed to specify a subset of artifacts before further processing, and only artifacts matching the specified condition are passed along to downstream blocks for processing. If no artifacts meet the conditions, the playbook does not end or restart; instead, it moves on to the next block, which could be any type of block depending on the playbook's design.


NEW QUESTION # 71
If two or more conditions apply to data in a filter block, which path is followed in the playbook?

  • A. All matching paths will be followed, but the first path to reach the end block will terminate the playbook.
  • B. Only the first matching condition will activate its path.
  • C. All paths with matching conditions are followed in parallel.
  • D. Only the last matching condition will activate its path.

Answer: C


NEW QUESTION # 72
When working with complex data paths, which operator is used to access a sub-element inside another element?

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

Answer: B

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 # 73
What are indicators?

  • A. Action results that may appear in multiple containers.
  • B. Artifact values with special security significance.
  • C. Artifact values that can appear in multiple containers.
  • D. Action result items that determine the flow of execution in a playbook.

Answer: C


NEW QUESTION # 74
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