On a multi-tenant Phantom server, what is the default tenant's ID?
Answer : C
The correct answer is C because the default tenant's ID is 1. The tenant ID is a unique identifier for each tenant on a multi-tenant Phantom server. The default tenant is the tenant that is created when Phantom is installed and contains all the existing data and assets. The default tenant's ID is always 1 and cannot be changed. Other tenants have IDs that are assigned sequentially starting from 2. SeeSplunk SOAR Documentationfor more details. In a multi-tenant Splunk SOAR environment, the default tenant is typically assigned an ID of 1. This ID is system-generated and is used to uniquely identify the default tenant within the SOAR database and system configurations. The default tenant serves as the primary operational environment before any additional tenants are configured, and its ID is crucial for database operations, API calls, and internal reference within the SOAR platform. Understanding and correctly using tenant IDs is essential for managing resources, permissions, and data access in a multi-tenant SOAR setup.
Which of the following cannot be marked as evidence in a container?
Answer : D
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.
Splunk SOAR Documentation: Working with Evidence.
Splunk SOAR Best Practices: Evidence Collection and Management.
What is the default embedded search engine used by SOAR?
Answer : B
the default embedded search engine used by SOAR is the SOAR search engine, which is powered by the PostgreSQL database built-in to Splunk SOAR (Cloud). A Splunk SOAR (Cloud) Administrator can configure options for search from the Home menu, in Search Settings under Administration Settings. The SOAR search engine has been modified to accept the * wildcard and supports various operators and filters. For search syntax and examples, see Search within Splunk SOAR (Cloud)2.
Option A is incorrect, because the embedded Splunk search engine was used in earlier releases of Splunk SOAR (Cloud), but not in the current version. Option C is incorrect, because Django is a web framework, not a search engine. Option D is incorrect, because Elastic is a separate search engine that is not embedded in Splunk SOAR (Cloud).
1: Configure search in Splunk SOAR (Cloud) 2: Search within Splunk SOAR (Cloud)
Splunk SOAR utilizes its own embedded search engine by default, which is tailored to its security orchestration and automation framework. While Splunk SOAR can integrate with other search engines, like the Embedded Splunk search engine, for advanced capabilities and log analytics, its default setup comes with an embedded search engine optimized for the typical data and search patterns encountered within the SOAR platform.
How can a child playbook access the parent playbook's action results?
Answer : C
In Splunk Phantom, child playbooks can access the action results of a parent playbook through the use of the Scope parameter. When a parent playbook calls a child playbook, it can pass certain data along by setting the Scope parameter to include the desired action results. This parameter is configured within the playbook block that initiates the child playbook. By specifying the appropriate scope, the parent playbook effectively determines what data the child playbook will have access to, allowing for a more modular and organized flow of information between playbooks.
How is a Django filter query performed?
Answer : A
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: https://<PHANTOM_URL>/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.
What are the components of the I2A2 design methodology?
Answer : B
I2A2 design methodology is a framework for designing playbooks that consists of four components:
* Inputs: The data that is required for the playbook to run, such as artifacts, parameters, or custom fields.
* Interactions: The blocks that allow the playbook to communicate with users or other systems, such as prompts, comments, or emails.
* Actions: The blocks that execute the core logic of the playbook, such as app actions, filters, decisions, or utilities.
* Artifacts: The data that is generated or modified by the playbook, such as new artifacts, container fields, or notes.
The I2A2 design methodology helps you to plan, structure, and test your playbooks in a modular and efficient way. Therefore, option B is the correct answer, as it lists the correct components of the I2A2 design methodology. Option A is incorrect, because apps are not a component of the I2A2 design methodology, but a source of actions that can be used in the playbook. Option C is incorrect, for the same reason as option A. Option D is incorrect, because assets are not a component of the I2A2 design methodology, but a configuration of app credentials that can be used in the playbook.
1: Use a playbook design methodology in Administer Splunk SOAR (Cloud)
The I2A2 design methodology is an approach used in Splunk SOAR to structure and design playbooks. The acronym stands for Inputs, Interactions, Actions, and Artifacts. This methodology guides the creation of playbooks by focusing on these four key components, ensuring that all necessary aspects of an automated response are considered and effectively implemented within the platform.
When working with complex data paths, which operator is used to access a sub-element inside another element?
Answer : D
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 allows for 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 the artifacts or action results. This capability is crucial for extracting and manipulating relevant information from complex data sets during incident analysis and response automation.