Optimize flattening for with follow-up
Last updated: February 17, 2026
Quick Overview
Given a nested list of integers, implement a function to flatten the list into a single list of integers while maintaining the order of elements. The function should handle varying levels of nesting and return the flattened list as output. Ensure your solution is optimized for time and space complexity.
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February 17, 202689
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Given a nested list of integers, implement a function to flatten the list into a single list of integers while maintaining the order of elements. The function should handle varying levels of nesting and return the flattened list as output. Ensure your solution is optimized for time and space complexity.
Zoom uses this problem in the Technical Screen to evaluate your algorithmic thinking. They expect you to discuss multiple approaches, analyze trade-offs between them, and implement the optimal solution with clean, readable code.
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
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 is the worst-case input for your solution?
- Can you solve this iteratively instead of recursively (or vice versa)?
- What happens if the input contains duplicates?
- How would you parallelize this solution?
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Practice DSA ProblemsSample Answer
Problem Analysis
The problem requires flattening a nested list of integers, which can contain varying levels of depth. Given that we need to traverse through potentially complex structures, a recursive approach or dep...
Approach
- Initialize an empty list
flattenedto store the results. - Define a recursive function
flatten(nested_list)that takes the current list as input. - For each element in
nested_list:
...
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