Splunk

Online Assessment

SplunkOnline Assessment

Company-style OA practice sets with full problem statements, sample test cases, and solutions.

4 Sets2 Questions/Set90 minArrayBinary SearchDepth-First SearchBreadth-First SearchGraph

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Practice Sets

Splunk Coding Assessment Practice Set 1

90 min2 questions
Q1.
Find First and Last Position of Element in Sorted Array
ArrayBinary Search
Medium50 marks

Problem Statement

In Splunk's technical coding assessment, candidates are evaluated on clean algorithmic problem-solving for "Find First and Last Position of Element in Sorted Array".

Given standard input parameters adhering to Array principles, design an optimal algorithm that satisfies all constraints and handles boundary test scenarios efficiently.

Ensure your implementation minimizes memory overhead and executes within the allotted online assessment time limits.

Input Format

  • The first line specifies the dimensions or count of test elements N.
  • The subsequent line(s) contain the input array, string, or graph representation.

Output Format

  • Print the computed result adhering to the required return format.

Constraints

  • 1 <= N <= 10^5
  • -10^9 <= element[i] <= 10^9
  • Time Limit: 2.0 seconds
  • Memory Limit: 256 MB

Edge Cases

  • Empty or single-element input
  • Input containing maximum or minimum boundary values
  • Uniform elements or all-negative test cases

Sample Test Cases

Example 1

Input

nums = [1, 2, 3, 4, 5], k = 3

Output

3

Explanation

Applying the optimal Array approach yields the expected solution 3.

Candidate Instructions

  • Identify the core invariant related to Array.
  • Verify edge cases including empty inputs and extreme bounds.
  • Optimize time complexity before submitting.
Time:O(log N)
Space:O(1)
Approach:Leverage Array combined with Binary Search to process the input in optimal O(log N) time complexity.
Q2.
Minimum Height Trees
Depth-First SearchBreadth-First SearchGraphTopological Sort
Medium50 marks

Problem Statement

In Splunk's technical coding assessment, candidates are evaluated on clean algorithmic problem-solving for "Minimum Height Trees".

Given standard input parameters adhering to Depth-First Search principles, design an optimal algorithm that satisfies all constraints and handles boundary test scenarios efficiently.

Ensure your implementation minimizes memory overhead and executes within the allotted online assessment time limits.

Input Format

  • The first line specifies the dimensions or count of test elements N.
  • The subsequent line(s) contain the input array, string, or graph representation.

Output Format

  • Print the computed result adhering to the required return format.

Constraints

  • 1 <= N <= 10^5
  • -10^9 <= element[i] <= 10^9
  • Time Limit: 2.0 seconds
  • Memory Limit: 256 MB

Edge Cases

  • Empty or single-element input
  • Input containing maximum or minimum boundary values
  • Uniform elements or all-negative test cases

Sample Test Cases

Example 1

Input

nums = [1, 2, 3, 4, 5], k = 3

Output

3

Explanation

Applying the optimal Depth-First Search approach yields the expected solution 3.

Candidate Instructions

  • Identify the core invariant related to Depth-First Search.
  • Verify edge cases including empty inputs and extreme bounds.
  • Optimize time complexity before submitting.
Time:O(N log N)
Space:O(N)
Approach:Leverage Depth-First Search combined with Breadth-First Search, Graph, Topological Sort to process the input in optimal O(N log N) time complexity.

Comprehensive Splunk Online Assessment Patterns & Questions

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Splunk Exact Coding Questions

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Test Patterns & Platforms

Understand exactly how many questions to expect, the typical time limits, and the platforms used (e.g., HackerRank, Codility, CodeSignal). Knowing the format in advance is the first step to clearing the Splunk OA.

🔥 Why practice these assessments?

  • ✓High ROI: Most candidates are filtered out at the OA stage. Passing the OA guarantees an interview.
  • ✓Real Edge Cases: We include not just the problem statements, but the hidden constraints and edge cases you need to pass all test cases.
  • ✓Optimal Solutions: Learn the time and space complexities required to score perfectly in automated grading systems.