Splunk Interview Questions (8+ Questions)

Last Updated: June 8, 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

Learn how to visualize and analyze the parent-child process hierarchy on a Linux server to identify process trees with excessive child processes. This guide helps pinpoint runaway process spawning issues by generating detailed process tree reports with full command names and PIDs, essential for diagnosing and resolving performance degradation.

2. Job Dependency Enforcement

Company: Splunk Difficulty: medium Categories: Devops

Learn to create sequential job dependencies in GitHub Actions using the needs keyword. Understand how to enforce execution order (Lint → Test → Build) and prevent downstream jobs from running if upstream jobs fail.

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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