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[General] Pass Splunk SPLK-2003 Exam–Experts Are Here To Help You

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【General】 Pass Splunk SPLK-2003 Exam–Experts Are Here To Help You

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Splunk Phantom Certified Admin Sample Questions (Q105-Q110):NEW QUESTION # 105
When is using decision blocks most useful?
  • A. When evaluating complex, multi-value results or artifacts.
  • B. When processing different data in parallel.
  • C. When selecting one (or zero) possible paths in the playbook.
  • D. When modifying downstream data hi one or more paths in the playbook.
Answer: C
Explanation:
Decision blocks are most useful when selecting one (or zero) possible paths in the playbook.
Decision blocks allow the user to define one or more conditions based on action results, artifacts, or custom expressions, and execute the corresponding path if the condition is met. If none of the conditions are met, the playbook execution ends. Decision blocks are not used for processing different data in parallel, evaluating complex, multi-value results or artifacts, or modifying downstream data in one or more paths in the playbook. Decision blocks within Splunk Phantom playbooks are used to control the flow of execution based on certain criteria. They are most useful when you need to select one or potentially no paths for the playbook to follow, based on the evaluation of specified conditions. This is akin to an if-else or switch-case logic in programming where depending on the conditions met, a particular path is chosen for further actions. Decision blocks evaluate the data and direct the playbook to different paths accordingly, making them a fundamental component for creating dynamic and responsive automation workflows.

NEW QUESTION # 106
Splunk user account(s) with which roles must be created to configure Phantom with an external Splunk Enterprise instance?
  • A. phantomcreate. phantomedit
  • B. phantomsearch, phantomdelete
  • C. superuser, administrator
  • D. admin,user
Answer: C
Explanation:
When configuring Splunk Phantom to integrate with an external Splunk Enterprise instance, it is typically required to have user accounts with sufficient privileges to access data and perform necessary actions. The roles of "superuser" and "administrator" in Splunk provide the broad set of permissions needed for such integration, enabling comprehensive access to data, management capabilities, and the execution of searches or actions that Phantom may require as part of its automated playbooks or investigations.

NEW QUESTION # 107
What users are included in a new installation of SOAR?
  • A. Only the admin user is included by default.
  • B. No users are included by default.
  • C. The admin, power, and user users are included by default.
  • D. The admin and automation users are included by default.
Answer: D
Explanation:
The admin and automation users are included by default. Comprehensive Explanation and References of answer: According to the Splunk SOAR (On-premises) default credentials, script options, and sample
configuration files documentation1, the default credentials on a new installation of Splunk SOAR (On-premises) are:
Web Interface Username: soar_local_admin password: password
On Splunk SOAR (On-premises) deployments which have been upgraded from earlier releases the user account admin becomes a normal user account with the Administrator role.
The automation user is a special user account that is used by Splunk SOAR (On-premises) to run actions and playbooks. It has the Automation role, which grants it full access to all objects and data in Splunk SOAR (On-premises).
The other options are incorrect because they either omit the automation user or include users that are not created by default. For example, option B includes the power and user users, which are not part of the default installation. Option C only includes the admin user, which ignores the automation user. Option D claims that no users are included by default, which is false.
In a new installation of Splunk SOAR, two default user accounts are typically created: admin and automation.
The admin account is intended for system administration tasks, providing full access to all features and settings within the SOAR platform. The automation user is a special account used for automated processes and scripts that interact with the SOAR platform, often without requiring direct human intervention. This user has specific permissions that can be tailored for automated tasks. Options B, C, and D do not accurately represent the default user accounts included in a new SOAR installation, making option A the correct answer.

NEW QUESTION # 108
Where in SOAR can a user view the JSON data for a container?
  • A. In the analyst queue.
  • B. On the Investigation page.
  • C. In the data ingestion display.
  • D. In the audit log.
Answer: B
Explanation:
In Splunk SOAR, the Investigation page is where users can delve into the details of containers, artifacts, and actions. It provides a comprehensive view of the incident or event under investigation, including the JSON data associated with containers. This JSON data represents the structured information about the container, including its attributes, artifacts, and actions taken within the playbook. Options A, C, and D do not typically provide a direct view of the container's JSON data, making option B the correct answer for where a user can view this information within SOAR.
A container is the top-level data structure that SOAR playbook APIs operate on. Every container is a structured JSON object which can nest more arbitrary JSON objects, that represent artifacts. A container is the top-level object against which automation is run. To view the JSON data for a container, you need to navigate to the Investigation page, which shows the details of a container, such as its name, label, owner, status, severity, and artifacts. On the Investigation page, you can click on the JSON tab, which displays the JSON representation of the container and its artifacts. Therefore, option B is the correct answer, as it states where in SOAR a user can view the JSON data for a container. Option A is incorrect, because the analyst queue is not where a user can view the JSON data for a container, but rather where a user can view the list of containers assigned to them or their team. Option C is incorrect, because the data ingestion display is not where a user can view the JSON data for a container, but rather where a user can view the status and configuration of the data sources that ingest data into SOAR. Option D is incorrect, because the audit log is not where a user can view the JSON data for a container, but rather where a user can view the history of actions performed on the SOAR system, such as creating, updating, or deleting objects.
1: Understanding containers in Splunk SOAR (Cloud)

NEW QUESTION # 109
Why does SOAR use wildcards within artifact data paths?
  • A. To make playbooks more specific.
  • B. To make decision execution in playbooks run faster.
  • C. To make data access in playbooks easier.
  • D. To make playbooks filter out nulls.
Answer: C
Explanation:
Wildcards are used within artifact data paths in Splunk SOAR playbooks to simplify the process of accessing data. They allow playbooks to reference dynamic or variable data structures without needing to specify exact paths, which can vary between artifacts. This flexibility makes it easier to write playbooks that work across different events and scenarios, without hard-coding data paths.
SOAR uses wildcards within artifact data paths to make data access in playbooks easier. A data path is a way of specifying the location of a piece of data within an artifact. For example, artifact.cef.sourceAddress is a data path that refers to the source address field of the artifact. A wildcard is a special character that can match any value or subfield within a data path. For example, artifact.*.cef.sourceAddress is a data path that uses a wildcard to match any field name before the cef subfield. This allows the playbook to access the source address data regardless of the field name, which can vary depending on the app or source that generated the artifact. Therefore, option C is the correct answer, as it explains why SOAR uses wildcards within artifact data paths. Option A is incorrect, because wildcards do not make playbooks more specific, but more flexible and adaptable. Option B is incorrect, because wildcards do not make playbooks filter out nulls, but match any value or subfield. Option D is incorrect, because wildcards do not make decision execution in playbooks run faster, but make data access in playbooks easier.
1: Understanding datapaths in Administer Splunk SOAR (Cloud)

NEW QUESTION # 110
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