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The SPLK-2003 exam is designed for individuals who already possess a basic understanding of Phantom and want to further develop their skills in security automation and orchestration. SPLK-2003 exam consists of 65 multiple-choice questions and lasts for 90 minutes. The questions are designed to test the candidate's knowledge of Phantom architecture, deployment, and administration. Additionally, the exam also covers topics such as playbook creation, incident response automation, and integration with other security tools.

To prepare for the SPLK-2003 Exam, candidates can take the Splunk Phantom Administration course, which provides hands-on training on the platform's features and functionality. SPLK-2003 course covers topics such as installation and configuration, playbook creation, automation and orchestration, and integration with other security tools. Additionally, candidates can also use the Splunk Phantom documentation and community resources to prepare for the exam.

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Splunk Phantom Certified Admin Sample Questions (Q34-Q39):

NEW QUESTION # 34
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. Configure a second Splunk asset with the second query.
B. Configure the second query in the Splunk App for SOAR Export.
C. Install a second Splunk app and configure the query in the second app.
D. Enter the two queries in the asset as comma separated values.

Answer: A

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 # 35
When writing a custom function that uses regex to extract the domain name from a URL, a user wants to create a new artifact for the extracted domain. Which of the following Python API calls will create a new artifact?

A. phantom.add_artifact ()
B. phantom.new_artifact ()
C. phantom.create_artifact ()
D. phantom. update ()

Answer: C

Explanation:
In the Splunk SOAR platform, when writing a custom function in Python to handle data such as extracting a domain name from a URL, you can create a new artifact using the Python API call phantom.create_artifact().
This function allows you to specify the details of the new artifact, such as the type, CEF (Common Event Format) data, container it belongs to, and other relevant information necessary to create an artifact within the system.

NEW QUESTION # 36
Which is the primary system requirement that should be increased with heavy usage of the file vault?

A. Bandwidth of network.
B. Number of processors.
C. Amount of storage.
D. Amount of memory.

Answer: C

Explanation:
The primary system requirement that should be increased with heavy usage of the file vault is the amount of storage. The file vault is a secure repository for storing files on Phantom. The more files are stored, the more storage space is needed. The other options are not directly related to the file vault usage. See [File vault] for more information.
Heavy usage of the file vault in Splunk SOAR necessitates an increase in the amount of storage available.
The file vault is used to securely store files associated with cases, such as malware samples, logs, and other artifacts relevant to an investigation. As the volume of files and the size of stored data grow, ensuring sufficient storage capacity becomes critical to maintain performance and ensure that all necessary data is retained for analysis and evidence.

NEW QUESTION # 37
A customer wants to design a modular and reusable set of playbooks that all communicate with each other.
Which of the following is a best practice for data sharing across playbooks?

A. Use the py-postgresq1 module to directly save the data in the Postgres database.
B. Use the Handle method to pass data directly between playbooks.
C. Create artifacts using one playbook and collect those artifacts in another playbook.
D. Cal the child playbooks getter function.

Answer: A

NEW QUESTION # 38
How is it possible to evaluate user prompt results?

A. Set action_result. summary. response to required.
B. Set the user prompt to reinvoke if it times out.
C. Set action_result.summary. status to required.
D. Add a decision Mode

Answer: A

Explanation:
In Splunk Phantom, user prompts are actions that require human input. To evaluate the results of a user prompt, you can set the response requirement in the action result summary. By setting action_result.
summary.response to required, the playbook ensures that it captures the user's input and can act upon it. This is critical in scenarios where subsequent actions depend on the choices made by the user in response to a prompt. Without setting this, the playbook would not have a defined way to handle the user response, which might lead to incorrect or unexpected playbook behavior.

NEW QUESTION # 39
......

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