Implement Skip List with with follow-up
Last updated: November 16, 2025
Quick Overview
Implement a Bloom Filter data structure that supports insert, delete, and lookup operations in O(n) time.
Neon
November 16, 202546
7
2,674 solved
Implement a Bloom Filter data structure that supports insert, delete, and lookup operations in O(n) time.
Neon 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
- Identify the correct data structure and algorithm for the problem
- Write clean, bug-free code with proper variable naming
- Analyze time and space complexity correctly
- Handle basic edge cases (empty input, single element)
- Communicate your thought process while coding
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
- How would you test this solution thoroughly?
- 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?
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Practice DSA ProblemsSample Answer
Problem Analysis
To implement a Bloom Filter, we need to consider how it handles insert, delete, and lookup operations efficiently. A Bloom Filter uses multiple hash functions to map an input to a bit array, allowing ...
Approach
- Initialization: Create a bit array of a specified size and define multiple hash functions that will be used to map inputs to positions in the bit array.
- Insert Operation: For each elemen...
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