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To prepare for the SPLK-2003 Exam, candidates are recommended to take the Splunk Phantom Certified Admin course. This course covers all the topics that are included in the certification exam and provides hands-on experience in administering the Splunk Phantom platform. Candidates can also access a range of study materials, including practice exams and online forums, to help them prepare for the exam.
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Splunk SPLK-2003 exam is designed for IT professionals who are seeking to become certified administrators of the Splunk Phantom platform. Splunk Phantom is a security orchestration, automation, and response (SOAR) solution that helps organizations streamline their security operations and improve their incident response capabilities. SPLK-2003 exam covers a range of topics, including installation and configuration, user management, workflow design, automation, and integration with other security tools. Passing the SPLK-2003 Exam demonstrates a candidate's knowledge and skills in using Splunk Phantom to automate and orchestrate security tasks, enabling organizations to respond more quickly and effectively to security incidents. Splunk Phantom Certified Admin Sample Questions (Q64-Q69):NEW QUESTION # 64
Within the 12A2 design methodology, which of the following most accurately describes the last step?
A. List of the outputs of the playbook design.
B. List of the data needed to run the playbook.
C. List of the apps used by the playbook.
D. List of the actions of the playbook design.
Answer: A
Explanation:
The correct answer is C because the last step of the 12A2 design methodology is to list the outputs of the playbook design. The outputs are the expected results or outcomes of the playbook execution, such as sending an email, creating a ticket, blocking an IP, etc. The outputs should be aligned with the objectives and goals of the playbook. See Splunk SOAR Certified Automation Developer for more details.
The 12A2 design methodology in the context of Splunk SOAR (formerly Phantom) refers to a structured approach to developing playbooks. The last step in this methodology focuses on defining the outputs of the playbook design. This step is crucial as it outlines what the expected results or actions the playbook should achieve upon its completion. These outputs can vary widely, from sending notifications, creating tickets, updating statuses, to generating reports. Defining the outputs is essential for understanding the playbook's impact on the security operation workflows and how it contributes to resolving security incidents or automating tasks.
NEW QUESTION # 65
What do assets provide for app functionality?
A. Assets provide location, credentials, and other parameters needed to run actions.
B. Assets provide Python code, REST API, and other capabilities needed to run actions.
C. Assets provide firewall, network, and data sources needed to run actions.
D. Assets provide hostnames, passwords, and other artifacts needed to run actions.
Answer: A
Explanation:
Explanation
The correct answer is A because assets provide location, credentials, and other parameters needed to run actions. Assets are configurations that define how Phantom connects to external systems or devices, such as firewalls, endpoints, or threat intelligence sources. Assets specify the app, the IP address or hostname, the username and password, and any other settings required to run actions on the target system or device. The answer B is incorrect because assets do not provide hostnames, passwords, and other artifacts needed to run actions, which are data objects that can be created or retrieved by playbooks. The answer C is incorrect because assets do not provide Python code, REST API, and other capabilities needed to run actions, which are provided by apps. The answer D is incorrect because assets do not provide firewall, network, and data sources needed to run actions, which are external systems or devices that can be connected to by assets.
Reference: Splunk SOAR Admin Guide, page 45.
NEW QUESTION # 66
When configuring a Splunk asset for SOAR to connect to a Splunk Cloud instance, the user discovers that they need to be able to run two different on_poll searches. How is this possible?
A. Install a second Splunk app and configure the query in the second app.
B. Configure a second Splunk asset with the second query.
C. Configure the second query in the Splunk App for SOAR Export.
D. Enter the two queries in the asset as comma separated values.
Answer: B
Explanation:
In Splunk SOAR, when needing to run multiple on_poll searches to a Splunk Cloud instance, the recommended approach is to configure a second Splunk asset specifically for the second query. This method allows each Splunk asset to maintain its own settings and query configurations, ensuring that each search can be managed and optimized independently. This separation also helps in troubleshooting and maintaining clarity in the configuration.
Option A, installing a second Splunk app, is not necessarily relevant as the app itself does not determine the number of queries but rather how they are managed and processed through assets.
Option B, configuring the second query in the Splunk App for SOAR Export, does not apply as this app typically handles data exportation from SOAR to Splunk, not managing multiple polling queries.
Option C, entering the two queries as comma-separated values, would not be practical or functional as Splunk SOAR's asset configuration does not process multiple queries in this manner for polling purposes.
When configuring a Splunk asset for SOAR to connect to a Splunk Cloud instance and there is a need to run two different on_poll searches, the appropriate action is to configure a second Splunk asset with the second query. This allows each Splunk asset to have its own unique on_poll search configuration, enabling them to run independently and retrieve different sets of data as required. The other options, such as installing a second app or entering queries as comma-separated values, are not standard practices for managing multiple on_poll searches in Splunk SOAR1.
References:Splunk SOAR documentation on configuring search in Splunk SOAR1.
NEW QUESTION # 67
An active playbook can be configured to operate on all containers that share which attribute?
A. Artifact
B. Severity
C. Label
D. Tag
Answer: C
Explanation:
The correct answer is B because an active playbook can be configured to operate on all containers that share a label. A label is a user-defined attribute that can be applied to containers to group them by a common characteristic, such as source, type, severity, etc. Labels can be used to filter containers and trigger active playbooks based on the label value. See Splunk SOAR Documentation for more details.
In Splunk SOAR, labels are used to categorize containers (such as incidents or events) based on their characteristics or the type of security issue they represent. An active playbook can be configured to trigger on all containers that share a specific label, enabling targeted automation based on the nature of the incident. This functionality allows for efficient and relevant playbook execution, ensuring that the automated response is tailored to the specific requirements of the container's category. Labels serve as a powerful organizational tool within SOAR, guiding the automated response framework to act on incidents that meet predefined criteria, thus streamlining the security operations process.
NEW QUESTION # 68
What metrics can be seen from the System Health Display? (Choose all that apply.)