RELIABLE SPLK-2003 EXAM TUTORIAL | LATEST SPLK-2003 TEST PDF

Reliable SPLK-2003 Exam Tutorial | Latest SPLK-2003 Test Pdf

Reliable SPLK-2003 Exam Tutorial | Latest SPLK-2003 Test Pdf

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Splunk SPLK-2003 exam is designed to test an individual's proficiency in the administration of Splunk Phantom, a comprehensive security orchestration, automation, and response (SOAR) platform. Splunk Phantom Certified Admin certification is intended for IT professionals who are responsible for managing and maintaining Splunk Phantom in their respective organizations. By passing SPLK-2003 exam, candidates can demonstrate their expertise in deploying, configuring, and troubleshooting Splunk Phantom.

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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2025 Professional SPLK-2003: Reliable Splunk Phantom Certified Admin Exam Tutorial

Choosing our Splunk SPLK-2003 study material, you will find that it will be very easy for you to overcome your shortcomings and become a persistent person. If you decide to buy our Splunk Phantom Certified Admin SPLK-2003 study questions, you can get the chance that you will pass your SPLK-2003 exam and get the certification successfully in a short time.

Splunk Phantom Certified Admin Sample Questions (Q54-Q59):

NEW QUESTION # 54
Is it possible to import external Python libraries such as the time module?

  • A. Yes, in the global block.
  • B. No.
  • C. Yes. from a drop-down menu.
  • D. No, but this can be changed by setting the proper permissions.

Answer: A

Explanation:
In Splunk SOAR, it is possible to import external Python libraries, such as the time module, within the scope of a playbook's global code block. The global block allows users to define custom Python code, including imports of standard Python libraries that are included in the Phantom platform's Python environment. This capability enables the extension of playbooks' functionality with additional Python logic, making playbooks more powerful and versatile in their operations.


NEW QUESTION # 55
A user has written a playbook that calls three other playbooks, one after the other. The user notices that the second playbook starts executing before the first one completes. What is the cause of this behavior?

  • A. The steep option for the second playbook is not set to a long enough interval.
  • B. The first playbook is performing poorly.
  • C. Incorrect Join configuration on the second playbook.
  • D. Synchronous execution has not been configured.

Answer: D

Explanation:
The correct answer is D because synchronous execution has not been configured. Synchronous execution is a feature that allows you to control the order of execution of playbook blocks. By default, Phantom executes playbook blocks asynchronously, meaning that it does not wait for one block to finish before starting the next one. This can cause problems when you have dependencies between blocks or when you call other playbooks.
To enable synchronous execution, you need to use the sync action in the run playbook block and specify the name of the next block to run after the called playbook completes. See Splunk SOAR Documentation for more details.
In Splunk SOAR, playbooks can be executed either synchronously or asynchronously. Synchronous execution ensures that a playbook waits for a called playbook to complete before proceeding to the next step. If the second playbook starts executing before the first one completes, it indicates that synchronous execution was not configured for the playbooks. Without synchronous execution, playbooks will execute independently of each other's completion status, leading to potential overlaps in execution. This behavior can be controlled by properly configuring the playbook execution settings to ensure that dependent playbooks complete their tasks in the desired order.


NEW QUESTION # 56
A user has written a playbook that calls three other playbooks, one after the other. The user notices that the second playbook starts executing before the first one completes. What is the cause of this behavior?

  • A. The steep option for the second playbook is not set to a long enough interval.
  • B. Synchronous execution has not been configured.
  • C. The first playbook is performing poorly.
  • D. Incorrect Join configuration on the second playbook.

Answer: D


NEW QUESTION # 57
Which of the following can be done with the System Health Display?

  • A. Reset DECIDED to reset playbook environments back to at-start conditions.
  • B. View a single column of status for SOAR processes. For metrics, click Details.
  • C. Partially rewind processes, which is useful for debugging.
  • D. Create a temporary, edited version of a process and test the results.

Answer: B

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. One of the things that can be done with the System Health Display is to reset DECIDED, which is a core component of the SOAR automation engine that handles the execution of playbooks and actions. Resetting DECIDED can be useful for troubleshooting or debugging purposes, as it resets the playbook environments back to at-start conditions, meaning that any changes made by the playbooks are discarded and the playbooks are reloaded. To reset DECIDED, you need to click on the Reset DECIDED button on the System Health Display dashboard. Therefore, option D is the correct answer, as it is the only option that can be done with the System Health Display. Option A is incorrect, because creating a temporary, edited version of a process and testing the results is not something that can be done with the System Health Display, but rather with the Debugging dashboard, which allows you to modify and run a process in a sandbox environment. Option B is incorrect, because partially rewinding processes, which is useful for debugging, is not something that can be done with the System Health Display, but rather with the Rewind feature, which allows you to go back to a previous state of a process and resume the execution from there. Option C is incorrect, because viewing a single column of status for SOAR processes is not something that can be done with the System Health Display, but rather with the Status Display dashboard, which shows a simplified view of the SOAR processes and their status.


NEW QUESTION # 58
How is a Django filter query performed?

  • A. phantom/rest/search/app/contains/"sumo"
  • B. Install the SOAR Django App first, then configure the search query in the App editor.
  • C. Browse to the Django Filter Query Editor in the Administration panel.
  • D. By adding parameters to the URL similar to the following:
    phantom/rest/container?_filter_tags_contains="sumo".

Answer: D

Explanation:
Django filter queries in Splunk SOAR are performed by appending filter parameters directly to the REST API URL. This allows users to refine their search and retrieve specific data. For example, to filter containers by tags containing the word "sumo", the following URL structure would be used:
https://<PHANTOM_URL>/rest/container?_filter_tags_contains="sumo". This format enables users to construct dynamic queries that can filter results based on specified criteria within the Django framework used by Splunk SOAR.
The correct way to perform a Django filter query in Splunk SOAR is to add parameters to the URL similar to the following: phantom/rest/container?_filter_tags_contains="sumo". This will return a list of containers that have the tag "sumo" in them. You can use various operators and fields to filter the results according to your needs. For more details, see Query for Data and Use filters in your Splunk SOAR (Cloud) playbook to specify a subset of artifacts before further processing. The other options are either incorrect or irrelevant for this question. For example:
*phantom/rest/search/app/contains/"sumo" is not a valid URL for a Django filter query. It will return an error message saying "Invalid endpoint".
*There is no Django Filter Query Editor in the Administration panel of Splunk SOAR. You can use the REST API Tester to test your queries, but not to edit them.
*There is no SOAR Django App that needs to be installed or configured for performing Django filter queries.
Splunk SOAR uses the Django framework internally, but you do not need to install or use any additional apps for this purpose.


NEW QUESTION # 59
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