Splunk Interview Questions (8+ Questions)

Last Updated: June 23, 2026 • 8 QuestionsReal Company Interviews

Prepare for your Splunk interview with our comprehensive collection of 8+ real interview questions and detailed answers. These questions have been curated from actual Splunk technical interviews across various roles including DevOps Engineer, Data Engineer, QA Engineer, and more.

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Table of Contents

Our Splunk interview questions cover a wide range of technical topics and difficulty levels, from entry-level positions to senior roles. Each question includes detailed explanations and answers to help you understand the concepts and prepare effectively for your interview.

💡 Pro Tips for Splunk Interviews

  • Practice each question and understand the underlying concepts
  • Review Splunk's specific technologies and methodologies
  • Prepare follow-up questions and edge cases
  • Practice explaining your solutions clearly and concisely

Interview Questions & Answers

1. Track Forking Process Hierarchies

Company: Splunk Difficulty: easy Categories: Devops

System resources are being consumed by unusually large process. We need to identify parent process that has most children. For that we can use pstree command because Linux provides the pstree command to display hierarchical process tree, including processes and command arguments. We need to write everything in the process tree report TXT file. We can get process IDs and arguments by adding those two flags. We have a lot of children processes under this process, and it has ID 189. Isolate only this by typing pstree -p 189.

2. Job Dependency Enforcement

Company: Splunk Difficulty: medium Categories: Devops

We have a pipeline with three jobs, lint, test, and build. The problem is all the three run in parallel with no ordering, which means that the build could succeed even if linting or testing failed. What we need to do over here is to enforce a strict sequence, which would be lint first, then test, and finally build. By default, jobs in a GitHub Actions workflow run in parallel, which means at the same time. So they start at the same time and don't wait for each other, and the needs keyword over here is what changes that. So what is different is that job B needs job A, that job B won't start until and unless job A has completed successfully. And if job A, for whatever reason, fails, then job B is completely skipped entirely, and this is how we enforce ordering between jobs. We can create a chain where each job depends on the one before it. Since dependency is transitive, we can have C to be dependent on B only. We can write something like needs lint and test, to make a job which will wait for both the lint and test to complete.

3. Valid Parentheses

Company: Splunk Difficulty: easy Categories: Devops, Data engineering, Quality assurance

def is_valid(s: str) -> bool:
stack = []
close_to_open = {")": "(", "]": "[", "}": "{"}

for c in s:
    if c in close_to_open:
        if stack and stack[-1] == close_to_open[c]:
            stack.pop()
        else:
            return False
    else:
        stack.append(c)
        
return True if not stack else False

4. Percentile Rank of Sales

Company: Splunk Difficulty: medium 🔒 Premium Categories: Data analysis, Data engineering

How to Calculate the Percentile Rank of Sales Orders Using SQL Window Functions

Introduction

Analyzing sales data for performance metrics is a crucial task for businesses striving to improve their operations. One essential metric is the percentile rank of each order based on its monetary v...


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5. Complex CASE for Bonus Tiers

Company: Splunk Difficulty: medium 🔒 Premium Categories: Data analysis, Data engineering

How to Analyze Employee Performance and Calculate Bonuses for Departments Using SQL

Objective

To effectively analyze employee performance and calculate bonuses for multiple departments, you will need to create an SQL query capable of:

  1. Calculating each employee's bonus based on the...

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6. GROUPING SETS for Multi-Level Summaries

Company: Splunk Difficulty: medium 🔒 Premium Categories: Data engineering

SQL Query to Calculate Total Sales Amounts by Region and Category

Introduction

In this interview question, we aim to demonstrate our ability to handle and aggregate sales data using SQL. We need to calculate total sales amounts by region and category from the given table sales_data, and ...


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7. Text Extraction Testing

Company: Splunk Difficulty: easy 🔒 Premium Categories: Quality assurance

Master basic text extraction testing with Selenium. Learn simple element finding and text content extraction for beginners....


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8. Form State Validation Testing

Company: Splunk Difficulty: medium 🔒 Premium Categories: Quality assurance

Master form state validation testing with Selenium. Learn form interaction and state checking for medium-level automation....


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