SPLK-2003 Exam Dumps : Splunk SOAR Certified Automation Developer Exam

In Splunk SOAR, the following elements can be marked as evidence within a container: action results, artifacts, and notes. These are crucial elements that contribute directly to incident analysis and can be selected as evidence to support investigation outcomes or legal proceedings.

However, comments cannot be marked as evidence. Comments are usually informal and meant for communication between users, providing context or updates but not serving as formal evidence within the system. Action results, artifacts, and notes, on the other hand, contain critical data related to the incident that could be useful for audit and investigative purposes, making them eligible to be marked as evidence.

References:

Splunk SOAR Documentation: Working with Evidence.

Splunk SOAR Best Practices: Evidence Collection and Management.

Playbooks in Splunk SOAR are designed to handle various types of data to automate responses to security incidents. The correct types of data handled by playbooks include:

Container Data: Containers are used to group related data for an incident or event. Playbooks can access this information to perform actions and make decisions.

Artifact CEF Data: Artifacts hold detailed information about the event or incident, including CEF (Common Event Format) data. Playbooks often process this CEF data for various actions.

Result Data: This refers to the data generated from actions executed by the playbook, such as results from API calls, integrations, or automated responses.

List Data: Lists in Splunk SOAR are collections of reusable data (such as IP blocklists, whitelists, etc.) that playbooks can access to check values or make decisions based on external lists.

The inclusion of List data instead of Threat data distinguishes this option from others, as lists are more directly used by playbooks during execution, whereas threat data is a broader category that is often processed but not always directly handled by playbooks.

References:

Splunk SOAR Documentation: Playbook Data Handling.

Splunk SOAR Best Practices: Automating with Playbooks.

Django filter queries in Splunk SOAR are performed by appending filter parameters directly to the REST API URL. This allows users to refine their search and retrieve specific data. For example, to filter containers by tags containing the word "sumo", the following URL structure would be used: /rest/container?_filter_tags_contains="sumo". This format enables users to construct dynamic queries that can filter results based on specified criteria within the Django framework used by Splunk SOAR.

The correct way to perform a Django filter query in Splunk SOAR is to add parameters to the URL similar to the following: phantom/rest/container?_filter_tags_contains=“sumo”. This will return a list of containers that have the tag “sumo” in them. You can use various operators and fields to filter the results according to your needs. For more details, see Query for Data and Use filters in your Splunk SOAR (Cloud) playbook to specify a subset of artifacts before further processing. The other options are either incorrect or irrelevant for this question. For example:

•phantom/rest/search/app/contains/“sumo” is not a valid URL for a Django filter query. It will return an error message saying “Invalid endpoint”.

•There is no Django Filter Query Editor in the Administration panel of Splunk SOAR. You can use the REST API Tester to test your queries, but not to edit them.

•There is no SOAR Django App that needs to be installed or configured for performing Django filter queries. Splunk SOAR uses the Django framework internally, but you do not need to install or use any additional apps for this purpose.