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[General] SPLK-2003 Materials - Reliable SPLK-2003 Exam Blueprint

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【General】 SPLK-2003 Materials - Reliable SPLK-2003 Exam Blueprint

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The SPLK-2003 Exam covers various topics related to Splunk Phantom, including platform architecture, installation and configuration, administration and management, playbook creation and customization, and integration with other security tools. SPLK-2003 exam format consists of multiple-choice questions and is delivered in a proctored environment. SPLK-2003 exam duration is 90 minutes, and candidates must achieve a passing score of 70% or higher to earn the Splunk Phantom Certified Admin certification.
The SPLK-2003 exam covers a wide range of topics related to Splunk Phantom, including automation workflows, playbook creation, data management, system administration, and integration with third-party tools. Candidates must have a good understanding of how to use Splunk Phantom to streamline their organization's security operations, reduce incident response times, and improve overall security posture. A Splunk Phantom Certified Admin can help their organization to leverage the full potential of the platform and achieve better security outcomes.
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Splunk Phantom Certified Admin Sample Questions (Q104-Q109):NEW QUESTION # 104
Which of the following describes the use of labels m Phantom?
  • A. Labels control the default seventy, ownership, and sensitivity for the container.
  • B. Labels control which apps are allowed to execute actions on the container.
  • C. Labels determine the service level agreement (SLA) for a container.
  • D. Labels determine which playbook(s) are executed when a container is created.
Answer: A

NEW QUESTION # 105
How can more than one user perform tasks in a workbook?
  • A. Add the required users to the authorized list for the container.
  • B. Any user in a role with write access to the case's workbook can be assigned to tasks.
  • C. Any user with a role that has Perform Task enabled can execute tasks for workbooks.
  • D. The container owner can assign any authorized user to any task in a workbook.
Answer: C
Explanation:
In Splunk SOAR, tasks within workbooks can be performed by any user whose role has the 'Perform Task' capability enabled. This capability is assigned within the role configuration and allows users with the appropriate permissions to execute tasks. It is not limited to users with write access or the container owner; rather, it is based on the specific permissions granted to the role with which the user is associated.

NEW QUESTION # 106
To limit the impact of custom code on the VPE, where should the custom code be placed?
  • A. A separate code repository.
  • B. A custom function block.
  • C. A separate container.
  • D. A custom container or a separate KV store.
Answer: B
Explanation:
To limit the impact of custom code on the Visual Playbook Editor (VPE) in Splunk SOAR, custom code should be placed within a custom function block. Custom function blocks are designed to encapsulate code within a playbook, allowing users to input their own Python code and execute it as part of the playbook run.
By confining custom code to these blocks, it maintains the VPE's performance and stability by isolating the custom code from the core functions of the playbook.
A custom function block is a way of adding custom Python code to your playbook, which can expand the functionality and processing of your playbook logic. Custom functions can also interact with the REST API in a customizable way. You can share custom functions across your team and across multiple playbooks to increase collaboration and efficiency. To create custom functions, you must have Edit Code permissions, which can be configured by an Administrator in Administration > User Management > Roles and Permissions. Therefore, option C is the correct answer, as it is the recommended way of placing custom code on the VPE, which limits the impact of custom code on the VPE performance and security. Option A is incorrect, because a custom container or a separate KV store are not valid ways of placing custom code on the VPE, but rather ways of storing data or artifacts. Option B is incorrect, because a separate code repository is not a way of placing custom code on the VPE, but rather a way of managing and versioning your code outside of Splunk SOAR. Option D is incorrect, because a separate container is not a way of placing custom code on the VPE, but rather a way of creating a new event or case.
1: Add custom code to your Splunk SOAR (Cloud) playbook with the custom function block using the classic playbook editor

NEW QUESTION # 107
During a second test of a playbook, a user receives an error that states: 'an empty parameters list was passed to phantom.act()." What does this indicate?
  • A. The playbook debugger's scope is set to new.
  • B. The playbook is using an incorrect container.
  • C. The container has artifacts not parameters.
  • D. The playbook debugger's scope is set to all.
Answer: A
Explanation:
Explanation
The correct answer is C because the error message indicates that the playbook debugger's scope is set to new.
The scope option determines which containers are used for debugging the playbook. If the scope is set to new, the debugger will only use containers that are created after the debugger is started. If the scope is set to all, the debugger will use all containers that match the playbook's filter criteria. The error message means that the debugger did not find any new containers with parameters to pass to the phantom.act() function. See Splunk SOAR Documentation for more details.

NEW QUESTION # 108
To limit the impact of custom code on the VPE, where should the custom code be placed?
  • A. A separate code repository.
  • B. A custom function block.
  • C. A separate container.
  • D. A custom container or a separate KV store.
Answer: B
Explanation:
To limit the impact of custom code on the Visual Playbook Editor (VPE) in Splunk SOAR, custom code should be placed within a custom function block. Custom function blocks are designed to encapsulate code within a playbook, allowing users to input their own Python code and execute it as part of the playbook run. By confining custom code to these blocks, it maintains the VPE's performance and stability by isolating the custom code from the core functions of the playbook.
A custom function block is a way of adding custom Python code to your playbook, which can expand the functionality and processing of your playbook logic. Custom functions can also interact with the REST API in a customizable way. You can share custom functions across your team and across multiple playbooks to increase collaboration and efficiency. To create custom functions, you must have Edit Code permissions, which can be configured by an Administrator in Administration > User Management > Roles and Permissions.

NEW QUESTION # 109
......
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