Two Pointers on array

Last updated: May 26, 2026

Quick Overview

Apply the DFS algorithm on a graph to solve this optimization problem.

Splunk
Coding & Algorithms
Software Engineer
Splunk
May 26, 2026
Software Engineer
Onsite
Coding & Algorithms
Hard

6

13

1,768 solved


Apply the DFS algorithm on a graph to solve this optimization problem.

This coding problem is frequently asked during Onsite at Splunk. The interviewer is testing your ability to translate a problem into clean, working code while discussing time and space complexity. Splunk expects candidates to write production-quality code, not just solve the puzzle.

What the Interviewer Expects
  • Quickly identify the optimal approach and its theoretical basis
  • Handle complex algorithm design with multiple interacting components
  • Write concise, elegant code under time pressure
  • Prove correctness of your approach and discuss alternative solutions
  • Optimize beyond the obvious: discuss constant factor improvements
  • Address follow-up variations and explain how the solution generalizes
Key Topics to Cover
Time and space complexity analysis
Tree structures and recursion
Data structure selection and trade-offs
Common algorithm patterns (sliding window, two pointers, BFS/DFS)
Hash maps and frequency counting
How to Approach This
  1. Clarify input constraints and edge cases before writing code.
  2. Walk through your approach verbally and confirm with the interviewer before coding.
  3. Start with a brute force solution, then optimize. Mention time and space complexity.
  4. Test your solution with examples, including edge cases like empty input or duplicates.
  5. Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
  • How would you parallelize this solution?
  • How would your solution change if the input was sorted?
  • Can you optimize the space complexity of your solution?
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