Why it matters:
Splunk SOAR is a low-code automation platform, and most exam questions reflect real-world workflows. Passive reading is not enough—hands-on practice is essential.
How to apply it:
Turn every knowledge topic into a practical task. For example:
| Topic | Learning Task |
|---|---|
| Modular Playbook | Build a parent playbook that calls two child playbooks with error handling |
| Filters and Logic | Create a playbook that processes only external IPs and applies branching logic |
| REST API | Use Postman to trigger /rest/playbook_run and log the response |
| Analyst Queue | Simulate 5 events and test how they're routed using tags and severity |
Tip:
Do not rely on documentation alone—practice everything in a live or simulated SOAR environment.
Why it works:
Being able to explain your playbook logic clearly means you've truly internalized the structure. The exam often assesses this logical thinking.
How to apply it:
After building a playbook, practice explaining each block out loud:
What triggers it?
What happens at each step?
How does the data flow?
Practice analyzing unfamiliar playbooks: What does this workflow do? Why was this decision block placed here?
Why it’s effective:
SOAR includes many similar-sounding terms (e.g., Asset vs. App), and memorizing them without context can lead to confusion.
How to apply it:
Create flashcards that use real use-cases or comparisons:
| Front | Back |
|---|---|
| What is the difference between an Asset and an App? | App is the integration package; Asset is a configured instance with credentials. |
What does phantom.collect2() do in a Code Block? |
It extracts data from action results or artifacts for later use. |
Why it helps:
Skills like decision logic, filters, and REST API usage require repeated, spaced practice to retain effectively.
How to apply it:
First exposure: Build a basic logic (one decision + one action).
Second session (after 2 days): Add nested decisions and user prompts.
Third session (after 7 days): Build a full modular workflow with Splunk integration.
Why it helps:
Reflecting on learning challenges and achievements helps with targeted review and long-term retention.
How to apply it: At the end of each week, answer:
What did I master this week? Why?
What confused me most? Why?
Which question did I get wrong even though I thought I understood it?
Type: Single-answer multiple choice
Format: Scenario-based questions that mirror real SOAR workflows
Examples:
What is the most likely cause of a playbook not running?
Which REST endpoint would you use to create a container?
What part of a modular playbook should handle enrichment?
Tip:
Every question tests your understanding of real SOAR logic and behavior—not just definitions.
This is a structured way to interpret exam questions quickly:
Situation: What is the problem or condition described in the question?
Goal: What outcome is the user or system trying to achieve?
Tool: What SOAR feature or logic can solve this problem?
Example:
If a playbook fails to trigger:
Situation: Event arrived, no action taken.
Goal: Start automatic response.
Tool: Check if the label/tag is missing or the trigger is disabled.
This method helps you eliminate irrelevant options and focus on correct logic.
Incorrect options are often partially right or use misleading terminology.
Pay attention to subtle differences such as:
GET vs POST
asset vs app
triggered manually vs automatically triggered
Tip:
Highlight or underline keywords in the question prompt. Focus on action words and data terms.
Understanding these keywords will help you interpret both questions and answers more effectively:
trigger, action, condition, decision block
filter block, prompt, playbook block
phantom.debug(), phantom.collect2()
format block, playbook_run, container vs artifact
Use flashcards or a glossary to drill these terms in context.
Before taking the actual SPLK-2003 exam, ensure you can:
Build and explain these five types of workflows:
Basic trigger → enrichment → case note
Nested decision + filter + prompt interaction
Modular playbook (parent-child structure)
Splunk query + logic + automated action
REST API simulation (create container, trigger playbook)
Complete two full-length practice tests with a score above 80 percent.
Explain each of the 18 knowledge areas in your own words.