Sliding Window on graph

Last updated: January 13, 2026

Quick Overview

Apply the BFS algorithm on a linked list to solve this optimization problem.

ServiceNow
Coding & Algorithms
Machine Learning Engineer
ServiceNow
January 13, 2026
Machine Learning Engineer
Technical Screen
Coding & Algorithms
Hard

6

15

1,011 solved


Apply the BFS algorithm on a linked list to solve this optimization problem.

This coding problem is frequently asked during Technical Screen at ServiceNow. The interviewer is testing your ability to translate a problem into clean, working code while discussing time and space complexity. ServiceNow 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
Common algorithm patterns (sliding window, two pointers, BFS/DFS)
Edge cases and input validation
Sorting and searching
Dynamic programming and memoization
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 test this solution thoroughly?
  • How would your solution change if the input was sorted?
  • What is the worst-case input for your solution?
Sharpen Your Skills on Codemia

Practice similar problems with our interactive workspace, get AI feedback, and track your progress.

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