Optimize traversal for with follow-up
Last updated: March 27, 2026
Quick Overview
Find an efficient solution for traversal given the without recursion constraint.
CrowdStrike
March 27, 2026163
12
2,116 solved
Find an efficient solution for traversal given the without recursion constraint.
This coding problem is frequently asked during Phone Screen at CrowdStrike. The interviewer is testing your ability to translate a problem into clean, working code while discussing time and space complexity. CrowdStrike expects candidates to write production-quality code, not just solve the puzzle.
What the Interviewer Expects
- Recognize the underlying problem pattern (sliding window, two pointers, BFS/DFS, etc.)
- Discuss multiple approaches and trade-offs before coding
- Implement an optimal solution with clean, production-quality code
- Handle all edge cases including boundary conditions and invalid input
- Optimize both time and space complexity with clear justification
- Test your solution systematically with well-chosen examples
Key Topics to Cover
How to Approach This
- Clarify input constraints and edge cases before writing code.
- Walk through your approach verbally and confirm with the interviewer before coding.
- Start with a brute force solution, then optimize. Mention time and space complexity.
- Test your solution with examples, including edge cases like empty input or duplicates.
- Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
- What happens if the input contains duplicates?
- Can you solve this iteratively instead of recursively (or vice versa)?
- How would you test this solution thoroughly?
- How would your solution change if the input was sorted?
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Practice DSA ProblemsSample Answer
Problem Analysis
The problem presents a traversal challenge without the use of recursion, which suggests the application of iterative methods for graph traversal. Given the context, we can employ a Breadth-First Searc...
Approach
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Graph Representation: We first need to represent the graph using an adjacency list since it is space-efficient for sparse graphs. Each node points to a list of its neighbors.
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**Iterative Tr...
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