The Splunk SPLK-2003 exam is part of the Splunk SOAR Certified Automation Developer certification path. It is designed for candidates who work with automation, playbooks, investigation workflows, and SOAR administration tasks. This exam matters because it validates practical knowledge needed to build, manage, and maintain Splunk SOAR solutions with confidence. A strong result shows you can support real-world security automation and response operations.
| # | Exam Topics | Sub-Topics | Approximate Weightage (%) |
|---|---|---|---|
| 1 | Deployment, Installation, and Initial Configuration | Platform setup, initial system configuration, deployment planning | 7% |
| 2 | User Management | Users, roles, permissions, access control | 5% |
| 3 | Apps, Assets, and Playbooks | App configuration, asset setup, playbook assignment | 8% |
| 4 | Analyst Queue | Queue workflow, item handling, analyst actions | 5% |
| 5 | The Investigation Page | Investigation views, case context, task navigation | 6% |
| 6 | Case Management and Workbooks | Cases, workbooks, tracking, incident handling | 7% |
| 7 | Customizations | Layouts, UI adjustments, workflow customization | 5% |
| 8 | System Maintenance | Health checks, updates, troubleshooting, upkeep | 5% |
| 9 | Introduction to Playbooks | Playbook concepts, automation flow, trigger logic | 8% |
| 10 | Visual Playbook Editor | Editor usage, node handling, playbook design | 8% |
| 11 | Logic, Filters, and User Interaction | Conditions, filtering, prompts, decision paths | 7% |
| 12 | Formatted Output and Data Access | Output formatting, field access, data extraction | 6% |
| 13 | Modular Playbook Development | Reusable design, modular flow, component structure | 7% |
| 14 | Custom Lists and Data Routing | Lists, mapping, data transfer, routing logic | 5% |
| 15 | Configuring External Splunk Search | Search configuration, query integration, external results | 6% |
| 16 | Integrating SOAR into Splunk | System integration, data exchange, platform connection | 6% |
| 17 | Custom Coding | Code logic, scripting support, automation enhancements | 7% |
| 18 | Using REST | API calls, endpoint usage, request and response handling | 6% |
| Total | 100% | ||
This exam tests both conceptual understanding and hands-on capability across Splunk SOAR automation tasks. Candidates should be comfortable with playbook design, investigations, case handling, integrations, and platform administration. The questions are intended to measure practical decision-making, not just memorization, so real workflow familiarity is important.
QA4Exam.com offers an Exam PDF with actual questions and answers plus an Online Practice Test to help you prepare efficiently for the Splunk SPLK-2003 exam. The practice materials provide a real exam simulation so you can get used to the question style, pacing, and pressure before test day. You also get updated questions and verified answers, which helps reduce guesswork and strengthen your understanding of the exam objectives. By practicing with timed tests, you can improve time management and build the confidence needed to aim for a first-attempt pass.
It is intended for candidates working toward the Splunk SOAR Certified Automation Developer certification and those who want to validate skills in automation, playbooks, investigations, and SOAR workflows.
It can be challenging because it tests practical knowledge across many SOAR topics, including playbooks, integrations, and platform tasks. Hands-on familiarity makes a big difference.
Braindumps alone are not the best approach. You should use them with practice and review so you understand the concepts behind the answers and can handle different question formats.
Yes, hands-on experience is highly recommended. The exam covers practical subjects like playbook development, case management, and REST usage, which are easier to master with real usage.
The Exam PDF and Online Practice Test are designed to make first-attempt success more achievable by giving you real exam-style questions, verified answers, and focused practice. Using them consistently can improve readiness and confidence.
The package includes an Exam PDF with questions and answers and an Online Practice Test. Together, they help you review content, simulate the exam, and practice time management.
Yes, the Online Practice Test is useful for timing yourself under exam-like conditions, which helps you answer questions more efficiently during the real test.
If no data matches any filter conditions, what is the next block run by the playbook?
In a Splunk SOAR playbook, if no data matches the conditions specified within a filter block, the playbook execution will proceed to the next block that is configured to follow the filter block. The 'next block' refers to whatever action or decision block is designed to be next in the sequence according to the playbook's logic.
Filters in Splunk SOAR are used to make decisions based on data conditions, and they control the flow of the playbook. If the conditions in a filter block are not met, the playbook does not simply end or restart; rather, it continues to execute the subsequent blocks that have been set up to handle situations where the filter conditions are not met.
A filter block will typically have different paths for different outcomes---matching and non-matching. If the conditions are matched, one set of blocks will execute, and if not, another set of blocks, which could simply be the next one in the sequence, will execute. This allows for complex logic and branching within the playbook to handle a wide range of scenarios.
In a Splunk SOAR playbook, when no data matches any filter conditions, the playbook continues to run by proceeding to the next block in the sequence.The filter block is designed to specify a subset of artifacts before further processing, and only artifacts matching the specified condition are passed along to downstream blocks for processing1.If no artifacts meet the conditions, the playbook does not end or restart; instead, it moves on to the next block, which could be any type of block depending on the playbook's design1.
Use filters in your Splunk SOAR (Cloud) playbook to specify a subset of artifacts before further processing - Splunk Documentation
Which of the following is an asset ingestion setting in SOAR?
The asset ingestion setting 'Polling Interval' within Splunk SOAR determines how frequently the SOAR platform will poll an asset to ingest data. This setting is crucial for assets that are configured to pull in data from external sources at regular intervals. Adjusting the polling interval allows administrators to balance the need for timely data against network and system resource considerations.
An asset ingestion setting is a configuration option that allows you to specify how often SOAR should poll an asset for new data. Data ingestion settings are available for assets such as QRadar, Splunk, and IMAP. To configure ingestion settings for an asset, you need to navigate to the Asset Configuration page, select the Ingest Settings tab, and edit the Polling Interval field. The Polling Interval is the number of seconds between each poll request that SOAR sends to the asset. Therefore, option A is the correct answer, as it is the only option that is an asset ingestion setting in SOAR. Option B is incorrect, because Tag is not an asset ingestion setting, but a way of labeling an asset for easier identification and filtering. Option C is incorrect, because File format is not an asset ingestion setting, but a way of specifying the format of the data that is ingested from an asset. Option D is incorrect, because Operating system is not an asset ingestion setting, but a way of identifying the type of system that an asset runs on.
1: Configure ingest settings for a Splunk SOAR (On-premises) asset
Which of the following will show all artifacts that have the term results in a filePath CEF value?
The correct answer is A because the_filterparameter is used to filter the results based on a field value, and theicontainoperator is used to perform a case-insensitive substring match. ThefilePathfield is part of the Common Event Format (CEF) standard, and thecef_prefix is used to access CEF fields in the REST API. The answer B is incorrect because it uses the wrong syntax for the REST API. The answer C is incorrect because it uses the wrong endpoint (resultinstead ofartifact) and the wrong syntax for the REST API. The answer D is incorrect because it uses the wrong syntax for the REST API and the wrong spelling for theicontainsoperator. Reference:Splunk SOAR REST API Guide, page 18.
To query and display all artifacts that contain the term 'results' in a filePath CEF (Common Event Format) value, using the REST API endpoint with a filter parameter is effective. The filter _filter_cef_filePath_icontain='results' is applied to search within the artifact data for filePath fields that contain the term 'results', disregarding case sensitivity. This method allows users to precisely locate and work with artifacts that meet specific criteria, aiding in the investigation and analysis processes within Splunk SOAR.
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.
In this image, which container fields are searched for the text "Malware"?

The image shows a user interface of ''splunk>phantom'' with a search bar at the top, where a search for ''Malware'' has been initiated. The tabs labeled ''Events,'' ''Indicators,'' ''Cases,'' and ''Tasks'' suggest that the search functionality could span across various container fields within the Splunk SOAR environment. Typically, the search would include fields that are most relevant to the user's query, which in this case, are likely to be the Event Name and Artifact Names. These fields are central to identifying and categorizing events and artifacts within Splunk SOAR, making them primary targets for a search term like ''Malware'' which is commonly associated with security events and indicators17.
Understanding containers - Splunk Documentation
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