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Splunk SPLK-2003 Exam Questions
- Topic 1: Deployment, Installation, and Initial Configuration: Splunk SOAR fundamentals are crucial for cybersecurity professionals preparing for the SPLK-2003 exam. This topic covers SOAR operation, installation, architecture, and configuration for effective implementation.
- Topic 2: User Management: User Management in the SPLK-2003 exam tests candidates on adding users, configuring authentication, and creating roles. SOC analysts and administrators who attempt the exam must manage user access and permissions.
- Topic 3: Apps, Assets, and Playbooks: Cybersecurity professionals should understand assets, configuring apps, and data ingestion for the SPLK-2003 exam. Proficiency in these areas enhances SOAR's automation and security tool integration.
- Topic 4: Analyst Queue: The Analyst Queue topic focuses on search features and filter creation. SOC analysts who attempt the Splunk SOAR Certified Automation Developer exam must prepare to manage and prioritize security events effectively within the SOAR platform.
- Topic 5: The Investigation Page: Candidates of the Splunk SPLK-2003 test are assessed on their investigation skills using SOAR's tools. This includes navigating the Investigation page, running actions and playbooks, and managing case files efficiently.
- Topic 6: Case Management and Workbooks: Case Management and Workbooks topic prepares Splunk analysts and administrators for managing complex security incidents using workbooks and marking evidence within the SOAR platform.
- Topic 7: Customizations: Candidates of the Splunk SOAR Certified Automation Developer test learn to tailor SOAR to meet organizational needs, covering customization of severity levels, CEF fields, and workbooks. This topic is essential for those aiming to take the SPLK-2003 exam.
- Topic 8: System Maintenance: The Splunk SPLK-2003 exam assesses candidates on their ability to monitor and maintain SOAR's performance. Understanding reports, system health, and logs is crucial for cybersecurity professionals to pass the test.
- Topic 9: Introduction to Playbooks: Sub-topics are about available app actions, automation best practices, I2A2 design methodology, and playbook capabilities. To pass the Splunk SPLK-2003 exam, applicant must get knowledge about these concepts to ensure success.
- Topic 10: Visual Playbook Editor: Sub-topics are about using the editor, executing actions from playbooks, and testing new playbooks. Cybersecurity professionals who attempt the Splunk SOAR Certified Automation Developer exam must learn how to create and modify automated workflows by using SOAR’s visual interface.
- Topic 11: Logic, Filters, and User Interaction: It focuses on usage of decision blocks, join options, filter blocks, and user interaction features. SOC analysts must get knowledge about interactive playbooks as well.
- Topic 12: Formatted Output and Data Access: Formatted Output and Data Access topic teaches structuring data, understanding action results, and composing datapaths. This knowledge enhances automation by manipulating and accessing data effectively.
- Topic 13: Modular Playbook Development: Designing modular solutions and invoking child playbooks for scalable and reusable components is the focus here. This enhances automation efficiency, a key skill for those aiming to take the SPLK-2003 exam.
- Topic 14: Custom Lists and Data Routing: Custom Lists and data routing are covered, including creating custom lists and using filters for data control. This topic ensures SOC analysts effectively manage custom data in SOAR.
- Topic 15: Configuring External Splunk Search: In this topic of the SPLK-2003 exam, cybersecurity professionals learn about using reindex and reporting features, configuring both SOAR and Splunk instances, and externalizing search to Splunk.
- Topic 16: Integrating SOAR into Splunk: You learn about installing and configuring necessary apps, using Splunk search from playbooks, and sending Enterprise Security notables to SOAR.
- Topic 17: Custom Coding: The primary focus of this topic is on writing custom SOAR code, using the global block, and custom function blocks.
- Topic 18: Using REST: Splunk Enterprise Security administrators and SOC analysts cover sub-topics related to accessing SOAR data from other systems, SOAR REST API capabilities, and Django queries.
Free Splunk SPLK-2003 Exam Actual Questions
Note: Premium Questions for SPLK-2003 were last updated On Jul. 13, 2026 (see below)
Which of the following actions will store a compressed, secure version of an email attachment with suspected malware for future analysis?
To securely store a compressed version of an email attachment suspected of containing malware for future analysis, the most effective approach within Splunk SOAR is to use the Upload action of the Secure Store app. This app is specifically designed to handle sensitive or potentially dangerous files by securely storing them within the SOAR database, allowing for controlled access and analysis at a later time. This method ensures that the file is not only safely contained but also available for future forensic or investigative purposes without risking exposure to the malware. Options A, B, and C do not provide the same level of security and functionality for handling suspected malware files, making option D the most appropriate choice.
Secure Store app is a SOAR app that allows you to store files securely in the SOAR database. The Secure Store app provides two actions: Upload and Download. The Upload action takes a file as an input and stores it in the SOAR database in a compressed and encrypted format. The Download action takes a file ID as an input and retrieves the file from the SOAR database and decrypts it. The Secure Store app can be used to store files that contain sensitive or malicious data, such as email attachments with suspected malware, for future analysis. Therefore, option D is the correct answer, as it states the action that will store a compressed, secure version of an email attachment with suspected malware for future analysis. Option A is incorrect, because copying and pasting the attachment into a note will not store the file securely, but rather expose the file content to anyone who can view the note. Option B is incorrect, because adding a link to the file in a new artifact will not store the file securely, but rather create a reference to the file location, which may not be accessible or reliable. Option C is incorrect, because using the Files tab on the Investigation page to upload the attachment will not store the file securely, but rather store the file in the SOAR file system, which may not be encrypted or compressed.
How is it possible to evaluate user prompt results?
In Splunk Phantom, user prompts are actions that require human input. To evaluate the results of a user prompt, you can set the response requirement in the action result summary. By setting action_result.summary.response to required, the playbook ensures that it captures the user's input and can act upon it. This is critical in scenarios where subsequent actions depend on the choices made by the user in response to a prompt. Without setting this, the playbook would not have a defined way to handle the user response, which might lead to incorrect or unexpected playbook behavior.
Which of the following is the best option for an analyst who wants to run a single action on an event?
The best option for an analyst who wants to run a single action on an event is to open the event and run the action directly from the Investigation View. The Investigation View allows users to interact with events directly, and provides the ability to execute specific actions without the need for playbook development or debugging. This is the most straightforward and efficient way to execute a single action on an event, without the overhead of creating or editing playbooks.
While creating a playbook and using the Playbook Debugger are viable options, they introduce unnecessary complexity for running just one action. The goal is to allow the analyst to act quickly and efficiently within the Investigation View.
Splunk SOAR Documentation: Investigation View Overview.
Splunk SOAR Best Practices for Running Actions on Events.
A user has written a playbook that calls three other playbooks, one after the other. The user notices that the second playbook starts executing before the first one completes. What is the cause of this behavior?
The correct answer is D because synchronous execution has not been configured. Synchronous execution is a feature that allows you to control the order of execution of playbook blocks. By default, Phantom executes playbook blocks asynchronously, meaning that it does not wait for one block to finish before starting the next one. This can cause problems when you have dependencies between blocks or when you call other playbooks. To enable synchronous execution, you need to use thesyncaction in therun playbookblock and specify the name of the next block to run after the called playbook completes. SeeSplunk SOAR Documentationfor more details.
In Splunk SOAR, playbooks can be executed either synchronously or asynchronously. Synchronous execution ensures that a playbook waits for a called playbook to complete before proceeding to the next step. If the second playbook starts executing before the first one completes, it indicates that synchronous execution was not configured for the playbooks. Without synchronous execution, playbooks will execute independently of each other's completion status, leading to potential overlaps in execution. This behavior can be controlled by properly configuring the playbook execution settings to ensure that dependent playbooks complete their tasks in the desired order.
What is the default embedded search engine used by SOAR?
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.
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