Splunk SOAR Certified Automation Developer SPLK-2003 Reddit Questions

The Investigation view in Splunk SOAR provides a comprehensive and holistic view of an incident. This view includes vital details such as event metadata, Service Level Agreement (SLA) status, severity, sensitivity of the event, and other relevant information. It allows analysts to track and manage incidents effectively by presenting a clear picture of all aspects of the investigation process. This view is designed to help users take timely actions based on critical data points, making it a pivotal feature for incident response teams.

Other views like Executive or Analyst may focus on specific reporting or technical details, but the Investigation view provides the most complete perspective on the incident and its progress.

References:

Splunk SOAR Documentation: Investigation View Overview.

Splunk SOAR Incident Response Best Practices.

Within Splunk SOAR, containers (which represent incidents, cases, or events) have a lifecycle that is tracked through their status. The default statuses available without any customization are "New", "In Progress", and "Closed". These statuses help in organizing and managing the incident response process, allowing users to easily track the progress of investigations and responses from initial detection through to resolution.

In the given decision block, you are trying to evaluate the results of two action blocks: geolocate_ip_1 and file_reputation_2. The correct configuration for making a decision based on the result of geolocate_ip_1 is by checking the country_iso_code field from the action result and setting the evaluation option to != (not equal), with no specific value provided in the "Select Value" box. This essentially checks whether a valid country ISO code exists in the action result and proceeds if it's not empty or different from a specific value. This is a common check when working with geolocation results to see if a response has been returned.

Other options (B, C, and D) include response codes or list comparisons, which do not align with the decision structure mentioned, which needs to operate based on a country_iso_code field.

References:

Splunk SOAR Playbook Development Guide.

Splunk SOAR Documentation on Decision Blocks and Action Result Evaluation.

The Phantom API command to create a custom list is phantom.create_list(). This command takes a list name and an optional description as parameters and returns a list ID if successful. The other commands are not valid Phantom API commands. phantom.add_list() is a Python function that can be used in custom code blocks to add data to an existing list.  To create a custom list in Splunk Phantom, the appropriate API command used is phantom.create_list(). This function allows for the creation of a new list that can be used to store data such as IP addresses, file hashes, or any other information that you want to track or reference across multiple playbooks or within different parts of the Phantom platform. The custom list is a flexible data structure that can be leveraged for various use cases within Phantom, including data enrichment, persistent storage of information, and cross-playbook data sharing.