Splunk SPLK-2003 Practice Test - Questions Answers, Page 4

Explanation:

The ROI (Return on Investment) Settings within Splunk SOAR are designed to help organizationsassess the value derived from their use of the platform, particularly in terms of resourceallocation and efficiency gains. The setting mentioned in the question, 'Number of full timeemployees (FTEs),' relates directly to measuring this efficiency.Answer 'C' is correct because configuring the number of full-time employees (FTEs) in the ROIsettings allows an organization to input and monitor how many personnel are dedicated tosecurity operations managed through SOAR. This setting is crucial for calculating the labor costassociated with incident response and routine security tasks. By understanding the number ofFTEs involved, organizations can better assess the labor cost savings provided by automationand orchestration in SOAR. This data helps in quantifying the operational efficiency and theoverall impact of SOAR on resource optimization.In contrast, other options like 'Analyst hours per month,' 'Time lost,' and 'Annual analyst salary'might seem relevant but are not directly configurable within the ROI settings of Splunk SOAR.These aspects could be indirectly calculated or estimated based on the number of FTEs andother operational metrics but are not directly input as settings in the system.This use of FTEs in ROI calculations is often discussed in materials related to cybersecurityefficiency metrics and SOAR platform utilization. Official Splunk documentation and bestpractices guides typically provide insights into how to set up and interpret ROI settings,highlighting the importance of accurate configuration for meaningful analytics

Explanation:

The phantom.debug() function is used within Splunk SOAR playbooks to output debuginformation to the debug window in the Visual Playbook Editor. This function is instrumental introubleshooting and developing playbooks, as it allows developers to print out variables,messages, or any relevant information that can help in understanding the flow of the playbook,the data being processed, and any issues that might arise during execution. This debugging toolis essential for ensuring that playbooks are functioning as intended and for diagnosing anyproblems that may occur.

Explanation:

Splunk SOAR (formerly Phantom) does not natively run on Windows servers as it is primarilydesigned for Linux environments. However, it can be deployed on a Windows server throughvirtualization. By running the Phantom OVA (Open Virtualization Appliance) as a virtualmachine, users can utilize virtualization platforms like VMware or VirtualBox on a Windowsserver to host the Phantom environment. This approach allows for the deployment of Phantomin a Windows-centric infrastructure by leveraging virtualization technology to encapsulate thePhantom application within a supported Linux environment provided by the OVA.

Explanation:

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 allowsfor 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 theartifacts or action results. This capability is crucial for extracting and manipulating relevantinformation from complex data sets during incident analysis and response automation.

Explanation:

The global block within a Splunk SOAR playbook is primarily used to import external packagesor define global variables that will be utilized across various parts of the playbook. This blocksets the stage for the playbook by ensuring that all necessary libraries, modules, or predefinedvariables are available for use in subsequent actions, decision blocks, or custom code segmentswithin the playbook. This practice promotes code reuse and efficiency, enabling moresophisticated and powerful playbook designs by leveraging external functionalities