Splunk Splunk SOAR Certified Automation Developer Exam SPLK-2003 Exam Dumps: Updated Questions & Answers (October 2025)

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:// /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.

The Splunk App for Phantom allows users to run Splunk queries directly from within the Phantom platform. This app facilitates the integration between Splunk and Phantom, enabling users to post data to Splunk as events, update notable events, run SPL (Search Processing Language) queries, and pull events from Splunk into Phantom. By configuring the asset settings and ingest settings in the configured asset, users can leverage the full capabilities of Splunk within the Phantom environment1.

References:

Integrating Splunk Phantom with Splunk Enterprise - TekStream Solutions

In Splunk SOAR, an event is a security occurrence that may require a response. It is ingested from a third-party source and can be labeled to group related events together. The default label for containers is “Events,” which signifies potential threats13. A case, on the other hand, is a container that holds several containers, consolidating multiple events into one logical management unit. Cases can include artifacts and external evidence such as screen captures, analyst notes, and event data from third-party products22. They are used to manage and analyze investigation data tied to specific security events and incidents, providing a structured approach to incident response34.

References:

Manage the status, severity, and resolution of events in Splunk SOAR (Cloud) - Splunk Documentation

Managing cases in SOAR - Splunk Lantern

What is Splunk Phantom (Renamed to Splunk SOAR)? - BlueVoyant

Overview of cases - Splunk Documentation

Selecting the New option under Sources in the Splunk SOAR menu typically initiates the New Data Ingestion wizard. This wizard guides users through the process of configuring new data sources for ingestion into the SOAR platform. It is designed to streamline the setup of various data inputs, such as event logs, threat intelligence feeds, or notifications from other security tools, ensuring that SOAR can receive and process relevant security data efficiently. This feature is crucial for expanding SOAR's monitoring and response capabilities by integrating diverse data sources. Options A, C, and D do not accurately describe what is displayed when the New option under Sources is selected, making option B the correct choice.

New Data Ingestion wizard allows you to create a new data source for Splunk SOAR (On-premises) by selecting the type of data, the ingestion method, and the configuration options. The other options are incorrect because they do not match the description of the New option under Sources on the menu. For example, option A refers to a list of new assets, which is not related to data ingestion. Option C refers to a list of new data sources, which is not what the New option does. Option D refers to a list of new events, which is not the same as creating a new data source.

The correct REST Django expression to retrieve events with the label "notable" that are in the "new" status is using the container endpoint, as containers are used to store events and associated data in Splunk SOAR. The expression correctly filters the events by label (_filter_label="notable") and status (_filter_status="new"), ensuring only notable events that are still in the "new" status are selected.

A and D reference the wrong endpoints (event and notable respectively), which do not align with the container-based model used in Splunk SOAR for storing and filtering events.

B is incorrect due to the use of _filter_name instead of _filter_label, which is not a valid filter in this context.

References:

Splunk SOAR Documentation: REST API Endpoints.

Splunk SOAR Developer Guide: Using Django REST for Filtering.

DECIDED process is a core component of the SOAR automation engine that handles the execution of playbooks and actions. The DECIDED process can be restarted by restarting the automation service, which can be done from the command line using the service phantom restart command2. Restarting the automation service also restarts the playbook daemon, which is another core component of the SOAR automation engine that handles the loading and unloading of playbooks3. Therefore, option D is the correct answer, as it restarts both the DECIDED process and the playbook daemon. Option A is incorrect, because restarting the playbook daemon alone does not restart the DECIDED process. Option B is incorrect, because the System Health page does not provide an option to restart the DECIDED process or the automation service. Option C is incorrect, because the Administration > Server Settings page does not provide an option to restart the DECIDED process or the automation service.

In Splunk SOAR, if the DECIDED process, which is responsible for playbook execution, needs to be restarted, this can typically be done by restarting the automation (or phantom) service. This service manages the automation processes, including playbook execution. Restarting it can reset the DECIDED process, resolving issues related to playbook execution or process hangs.

When configuring the Splunk app on the search head to search SOAR (Splunk's Security Orchestration, Automation, and Response) searchable content, two key components are required:

User Accounts: The user accounts are necessary to authenticate and authorize users who are accessing SOAR data through the Splunk app. These accounts manage permissions and access levels to ensure the proper users can search and interact with the data coming from SOAR.

HTTP Event Collector (HEC) Token: The HEC token is crucial because it allows the Splunk app to receive data from Splunk SOAR. SOAR sends events and other data to the Splunk platform via HEC. This token is used for secure communication and authentication between Splunk and SOAR. The token must be configured in the Splunk app to allow it to collect and search SOAR data seamlessly.

Other options like syslog, REST API, or a universal forwarder are commonly used methods for ingesting data into Splunk but are not specific requirements for setting up the Splunk app to search SOAR content. The HTTP Event Collector is the primary method for this setup, along with the correct user accounts.

References:

Splunk Documentation on HTTP Event Collector and SOAR Integration.

Splunk SOAR App Setup Guide for Splunk Search Head Configuration.

The correct answer is C because the last step of the 12A2 design methodology is to list the outputs of the playbook design. The outputs are the expected results or outcomes of the playbook execution, such as sending an email, creating a ticket, blocking an IP, etc. The outputs should be aligned with the objectives and goals of the playbook. See Splunk SOAR Certified Automation Developer for more details.

The 12A2 design methodology in the context of Splunk SOAR (formerly Phantom) refers to a structured approach to developing playbooks. The last step in this methodology focuses on defining the outputs of the playbook design. This step is crucial as it outlines what the expected results or actions the playbook should achieve upon its completion. These outputs can vary widely, from sending notifications, creating tickets, updating statuses, to generating reports. Defining the outputs is essential for understanding the playbook's impact on the security operation workflows and how it contributes to resolving security incidents or automating tasks.

When the Splunk App for SOAR Export executes a Splunk search, it typically involves mapping Common Information Model (CIM) fields from Splunk to the Common Event Format (CEF) used by SOAR, after which a container is created on the SOAR server to house the related artifacts and information. This process allows for the integration of data between Splunk, which uses CIM for data normalization, and Splunk SOAR, which uses CEF as its data format for incidents and events.

Splunk App for SOAR Export is responsible for sending data from your Splunk Enterprise or Splunk Cloud instances to Splunk SOAR. The Splunk App for SOAR Export acts as a translation service between the Splunk platform and Splunk SOAR by performing the following tasks:

•Mapping fields from Splunk platform alerts, such as saved searches and data models, to CEF fields.

•Translating CIM fields from Splunk Enterprise Security (ES) notable events to CEF fields.

•Forwarding events in CEF format to Splunk SOAR, which are stored as artifacts.

Therefore, option B is the correct answer, as it states the activities that are completed when the Splunk App for SOAR Export executes a Splunk search. Option A is incorrect, because CEF fields are not mapped to CIM fields, but the other way around. Option C is incorrect, because a container is not created on the Splunk server, but on the SOAR server. Option D is incorrect, because a container is not created on the Splunk server, but on the SOAR server.

To return all artifacts that contain a SHA1 file hash using the Splunk SOAR REST API, the correct query would use the _filter_cef_Shal_contains parameter. This parameter filters the artifacts to only those that contain a value in the SHA1 field within the Common Event Format (CEF) data structure. The contains operator is used to match any artifacts that have a SHA1 hash present1.

References:

Understanding artifacts - Splunk Documentation