Splunk SPLK-2003 Practice Test - Questions Answers, Page 3

Explanation:

In Splunk SOAR (formerly known as Phantom), enabling the Logging option for a playbook'ssettings primarily affects how logging information is displayed on the Investigation page. Whenthis option is enabled, more detailed logging information is made available on the Investigationpage, which can be crucial for troubleshooting and understanding the execution flow of theplaybook. This detailed information can include execution steps, actions taken, and conditionallogic paths followed during the playbook run.It's important to note that enabling logging does not affect the audit logs or the debug windowdirectly, nor does it write execution details to the spawn.log. Instead, it enhances the visibilityand granularity of logs displayed on the specific Investigation page related to the playbook'sexecution.Splunk Documentation and SOAR User Guides typically outline the impacts of enabling varioussettings within the playbook configurations, explaining how these settings affect the operationand logging within the system. For specific references, consulting the latest Splunk SOARdocumentation would provide the most accurate and detailed guidance.Enabling the Logging option for a playbook's settings in Splunk SOAR indeed affects the level ofdetail provided on the Investigation page. Here's a comprehensive explanation of its impact:Investigation Page Logging:The Investigation page serves as a centralized location for reviewing all activities related to anincident or event within Splunk SOAR.When the Logging option is enabled, it enhances the level of detail available on this page,providing a granular view of the playbook's execution.This includes detailed information about each action's execution, such as parameters used,results obtained, and any conditional logic that was evaluated.Benefits of Detailed Logging:Troubleshooting: It becomes easier to diagnose issues within a playbook when you can see adetailed log of its execution.Incident Analysis: Analysts can better understand the sequence of events and the decisionsmade by the playbook during an incident.
Playbook Optimization: Developers can use the detailed logs to refine and improve theplaybook's logic and performance.Non-Impacted Areas:The audit log, which tracks changes to the playbook itself, is not affected by the Logging option.The debug window, used for real-time debugging during playbook development, also remainsunaffected.The spawn.log file, which contains internal operational logs for the Splunk SOAR platform, doesnot receive detailed execution information from playbooks.Best Practices:Enable detailed logging during the development and testing phases of a playbook to ensurethorough analysis and debugging.Consider the potential impact on storage and performance when enabling detailed logging in aproduction environment.For the most accurate and up-to-date guidance on playbook settings and their effects, Irecommend consulting the latest Splunk SOAR documentation and user guides. These resourcesprovide in-depth information on configuring playbooks and understanding the implications ofvarious settings within the Splunk SOAR platform.In summary, the Logging option is a powerful feature that enhances the visibility of playbookoperations on the Investigation page, aiding in incident analysis and ensuring that playbooksare functioning correctly. It is an essential tool for security teams to effectively manage andrespond to incidents within their environment.

Explanation:

The default embedded search engine used by Splunk SOAR (formerly known as Phantom) is theembedded Splunk search engine. Here's a detailed explanation:Embedded Splunk Search Engine:Splunk SOAR uses an embedded, preconfigured version of Splunk Enterprise as its native searchengine.This integration allows for powerful searching capabilities within Splunk SOAR, leveragingSplunk's robust search and indexing features.Search Configuration:While the embedded Splunk search engine is the default, organizations have the option toconfigure Splunk SOAR to use a different Splunk Enterprise deployment or an externalElasticsearch instance.This flexibility allows organizations to tailor their search infrastructure to their specific needsand existing environments.Search Capabilities:The embedded Splunk search engine enables users to perform complex searches, analyze data,and generate reports directly within the Splunk SOAR platform.It supports the full range of Splunk's search processing language (SPL) commands, functions,and visualizations.Splunk SOAR Documentation: Configure search in Splunk Phantom1.Splunk SOAR Documentation: Configure search in Splunk SOAR (On-premises)2.In summary, the embedded Splunk search engine is the default search engine in Splunk SOAR,providing a seamless and powerful search experience for users within the platform.

Explanation:

A filter block with only one condition configured which states: artifact.*.cef .sourceAddress !- ,would permit only non-null IP addresses to pass forward to the next block. The !- operatormeans ''is not null''. The other options are not valid because they either include null values orother fields than sourceAddress. SeeFilter blockfor more details. A filter block in Splunk SOARthat is configured with the condition artifact.*.cef.sourceAddress != (assuming the intentionwas to use '!=' to denote 'not equal to') is designed to allow data that has non-nullsourceAddress values to pass through to subsequent blocks. This means that any artifact datawithin the container that includes a sourceAddress field with a defined value (i.e., an actual IPaddress) will be permitted to move forward in the playbook. The filter effectively screens outany artifacts that do not have a source address specified, focusing the playbook's actions onthose artifacts that contain valid IP address information in the sourceAddress field.

Explanation:

To get playbook results for a single artifact, a user can utilize the contextual menu optiondirectly from the artifact itself. This method allows for targeted execution of a playbook on just
that artifact, facilitating a focused analysis or action based on the data within that specificartifact. This approach is particularly useful when a user needs to drill down into the details ofan individual piece of evidence or data point within a larger incident or case, allowing forgranular control and execution of playbooks in the Splunk SOAR environment

Explanation:

The main purpose of using a customized workbook is to guide user activity and coordinationduring event analysis and case operations. Workbooks can be customized to include differentphases, tasks, and instructions for the users. The other options are not valid purposes of using acustomized workbook. SeeWorkbooksfor more information.Customized workbooks in Splunk SOAR are designed to guide users through the process ofanalyzing events and managing cases. They provide a structured framework for documentinginvestigations, tracking progress, and ensuring that all necessary steps are followed duringincident response and case management. This helps in coordinating team efforts, maintainingconsistency in response activities, and ensuring that all aspects of an incident are thoroughlyinvestigated and resolved. Workbooks can be customized to fit the specific processes andprocedures of an organization, making them a versatile tool for managing security operations.

Explanation:

A step when configuring event forwarding from Splunk to Phantom is to create a Splunk alertthat uses the event_forward.py script to send events to Phantom. This script will convert theSplunk events to CEF format and send them to Phantom as containers. The other options arenot valid steps for event forwarding. SeeForwarding events from Splunk to Phantomfor moredetails.Configuring event forwarding from Splunk to Phantom typically involves creating a Splunk alertthat leverages a script (like event_forward.py) to automatically send triggered event data toPhantom. This setup enables Splunk to act as a detection mechanism that, upon identifyingnotable events based on predefined criteria, forwards these events to Phantom for furtherorchestration, automation, and response actions. This integration streamlines the process ofincident management by connecting Splunk's powerful data analysis capabilities withPhantom's orchestration and automation framework.