SPLK-2003 Exam Dumps

A.   .../rest/artifact?_filter_cef_filePath_icontain=''results''

Explanation:
The correct answer is A because the _filter parameter is used to filter the results based on a field value, and the icontain operator is used to perform a caseinsensitive substring match. The filePath field is part of the Common Event Format (CEF) standard, and the cef_ prefix is used to access CEF fields in the REST API. The answer B is incorrect because it uses the wrong syntax for the REST API. The answer C is incorrect because it uses the wrong endpoint (result instead of artifact) and the wrong syntax for the REST API. The answer D is incorrect because it uses the wrong syntax for the REST API and the wrong spelling for the icontains operator.
To query and display all artifacts that contain the term "results" in a filePath CEF (Common Event Format) value, using the REST API endpoint with a filter parameter is effective. The filter _filter_cef_filePath_icontain="results" is applied to search within the artifact data for filePath fields that contain the term "results", disregarding case sensitivity. This method allows users to precisely locate and work with artifacts that meet specific criteria, aiding in the investigation and analysis processes within Splunk SOAR.

C.   Yes, in the global block

Explanation: 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.

C.   A format block.

Explanation: In Splunk SOAR playbook development, the format block is used to assemble commands and data into a valid Splunk search query. This block allows users to structure and manipulate strings, dynamically inserting variables, and constructing the precise format needed for a search query. By using a format block, playbooks can integrate data from various sources and ensure that it is assembled correctly before passing it to subsequent actions, such as executing a Splunk search.
Other blocks, like action, filter, and prompt blocks, serve different purposes (e.g., running actions, filtering data, or prompting for user input), but the format block is specifically designed for building structured data or queries like Splunk searches.

C.   The child playbook has access to the parent playbook's container and the parent's action result data.

Explanation: In Splunk SOAR, a child playbook can access both the container data and the action result data from the parent playbook. This capability allows child playbooks to continue processing data or actions that were initiated by the parent playbook, ensuring smooth data flow and facilitating complex workflows across multiple playbooks. When a parent playbook calls a child playbook, the container (which holds the event and artifact data) and action results (which hold the outputs of previously executed actions) are passed to the child playbook.

C.   The ability to automate Splunk searches within Phantom.

Explanation: The correct answer is C because configuring Phantom search to use an external Splunk server allows you to automate Splunk searches within Phantom using the run query action. This action can be used to run any Splunk search command on the external Splunk server and return the results to Phantom. You can also use the format results action to parse the results and use them in other blocks. See Splunk SOAR Documentation for more details.
Configuring Phantom (now known as Splunk SOAR) to use an external Splunk server enhances the automation capabilities within Phantom by allowing the execution of Splunk searches as part of the automation and orchestration processes. This integration facilitates the automation of tasks that involve querying data from Splunk, thereby streamlining security operations and incident response workflows. Splunk SOAR's ability to integrate with over 300 third-party tools, including Splunk, supports a wide range of automatable actions, thus enabling a more efficient and effective security operations center (SOC) by reducing the time to respond to threats and by making repetitive tasks more manageable.

B.   Reduce large complex playbooks which become difficult to maintain.

C.   Encourages code reuse in a more compartmentalized form.

D.   To avoid duplication of code across multiple playbooks.

Explanation: Creating smaller and more focused playbooks in Splunk SOAR is considered good design practice for several reasons:

• B: It reduces complexity, making playbooks easier to maintain. Large, complex playbooks can become unwieldy and difficult to troubleshoot or update.
• C: Encourages code reuse, as smaller playbooks can be designed to handle specific tasks that can be reused across different scenarios.
• D: Avoids duplication of code, as common functionalities can be centralized within specific playbooks, rather than having the same code replicated across multiple playbooks.

This approach has several benefits, such as:

• Reducing large complex playbooks which become difficult to maintain. Smaller playbooks are easier to read, debug, and update1.
• Encouraging code reuse in a more compartmentalized form. Smaller playbooks can be used as building blocks for multiple scenarios, reducing the need to write duplicate code12.
• Improving performance and scalability. Smaller playbooks can run faster and consume less resources than larger playbooks2.

The other options are not valid reasons for creating smaller and more focused playbooks. Reducing the amount of playbook data stored in each repo is not a significant benefit, as the playbook data is not very large compared to other types of data in Splunk SOAR. Avoiding duplication of code across multiple playbooks is a consequence of code reuse, not a separate goal.