Splunk SPLK-2003 Online Practice Questions and Exam Preparation

Splunk SPLK-2003 Online Questions & Answers

• Question 11:

  A user wants to use their Splunk Cloud instance as the external Splunk instance for Phantom. What ports need to be opened on the Splunk Cloud instance to facilitate this? Assume default ports are in use.

  A. TCP 8088 and TCP 8099.
  B. TCP 80 and TCP 443.
  C. Splunk Cloud is not supported.
  D. TCP 8080 and TCP 8191.
  B. TCP 80 and TCP 443.

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  Explanation/Reference:

  To integrate Splunk Phantom with a Splunk Cloud instance, network communication over certain ports is necessary. The default ports for web traffic are TCP 80 for HTTP and TCP 443 for HTTPS. Since Splunk Cloud instances are accessed over the internet, ensuring that these ports are open is essential for Phantom to communicate with Splunk Cloud for various operations, such as running searches, sending data, and receiving results. It is important to note that TCP 8088 is typically used by Splunk's HTTP Event Collector (HEC), which may also be relevant depending on the integration specifics.

• Question 12:

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

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

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  Explanation/Reference:

  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.

• Question 13:

  Which of the following applies to filter blocks?

  A. Can select which blocks have access to container data.
  B. Can select assets by tenant, approver, or app.
  C. Can be used to select data for use by other blocks.
  D. Can select containers by seventy or status.
  C. Can be used to select data for use by other blocks.

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  Explanation/Reference:

  The correct answer is C because filter blocks can be used to select data for use by other blocks. Filter blocks can filter data from the container, artifacts, or custom lists based on various criteria, such as field name, value, operator, etc. Filter blocks can also join data from multiple sources using the join action. The output of the filter block can be used as input for other blocks, such as decision, format, prompt, etc. See Splunk SOAR Documentation for more details. Filter blocks within Splunk SOAR playbooks are designed to sift through data and select specific pieces of information based on defined criteria. These blocks are crucial for narrowing down the data that subsequent blocks in a playbook will act upon. By applying filters, a playbook can focus on relevant data, thereby enhancing efficiency and ensuring that actions are taken based on precise, contextually relevant information. This capability is essential for tailoring the playbook's actions to the specific needs of the incident or workflow, enabling more targeted and effective automation strategies. Filters do not directly select blocks for container data access, choose assets by various administrative criteria, or select containers by attributes like severity or status; their primary function is to refine data within the playbook's operational context.

• Question 14:

  What metrics can be seen from the System Health Display? (select all that apply)

  A. Playbook Usage
  B. Memory Usage
  C. Disk Usage
  D. Load Average
  B. Memory Usage
  C. Disk Usage
  D. Load Average

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  Explanation/Reference:

  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. Some of the metrics

  that can be seen from the System Health Display are:

  稭emory Usage: The percentage of memory used by the system and the processes. 稤isk Usage: The percentage of disk space used by the system and the processes. 稬oad Average: The average number of processes in the run queue or

  waiting for disk I/O over a period of time.

  Therefore, options B, C, and D are the correct answers, as they are the metrics that can be seen from the System Health Display. Option A is incorrect, because Playbook Usage is not a metric that can be seen from the System Health

  Display, but rather a metric that can be seen from the Playbook Usage dashboard, which shows the number of playbooks and actions run over a period of time.

  Web search results from search_web(query="Splunk SOAR Automation Developer System Health Display")

  The System Health Display in Splunk SOAR provides several metrics to help monitor and manage the health of the system. These typically include:

  B: Memory Usage - This metric shows the amount of memory being used by the SOAR platform, which is important for ensuring that the system does not exceed available resources.

  C: Disk Usage - This metric indicates the amount of storage space being utilized, which is crucial for maintaining adequate storage resources and for planning capacity.

  D: Load Average - This metric provides an indication of the overall load on the system over a period of time, which helps in understanding the system's performance and in identifying potential bottlenecks or issues. Playbook Usage is generally not a metric displayed on the System Health page; instead, it's more related to the usage analytics of playbooks rather than system health metrics.

• Question 15:

  Which of the following can be done with the System Health Display?

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

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  Explanation/Reference:

  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.

  1: Web search results from search_web(query="Splunk SOAR Automation Developer System Health Display")

• Question 16:

  Is it possible to import external Python libraries such as the time module?

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

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  Explanation/Reference:

  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.

• Question 17:

  If no data matches any filter conditions, what is the next block run by the playbook?

  A. The end block.
  B. The start block.
  C. The filter block.
  D. The next block.
  A. The end block.

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  Explanation/Reference:

  In Splunk SOAR (formerly Phantom), when a playbook is running and it encounters a filter block, if no data matches the filter conditions specified, the playbook will proceed to the end block. The end block signifies the completion of the playbook's execution path that was contingent on the filter conditions being met. If the filter conditions are not met, and there are no alternative paths specified, the playbook recognizes this as the logical conclusion of that particular execution flow.

• Question 18:

  When working with complex data paths, which operator is used to access a sub-element inside another element?

  A. !(pipe)
  B. *(asterisk)
  C. :(colon)
  D. .(dot)
  D. .(dot)

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  Explanation/Reference:

  When working with complex data paths in Splunk SOAR, particularly within playbooks, the dot (.) operator is used to access sub-elements within a larger data structure. This operator allows for the navigation through nested data, such as dictionaries or objects within JSON responses, enabling playbook actions and decision blocks to reference specific pieces of data within the artifacts or action results. This capability is crucial for extracting and manipulating relevant information from complex data sets during incident analysis and response automation.

• Question 19:

  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.
  B. On the Investigation page.

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  Explanation/Reference:

  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. Understanding containers in Splunk SOAR (Cloud)

• Question 20:

  How is it possible to evaluate user prompt results?

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

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  Explanation/Reference:

  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.