Implement Segment Tree with with follow-up
Last updated: September 14, 2025
Quick Overview
Implement a Bloom Filter data structure that supports insert, delete, and lookup operations in O(log n) time.
Atlassian
September 14, 202514
13
814 solved
Implement a Bloom Filter data structure that supports insert, delete, and lookup operations in O(log n) time.
This coding problem is frequently asked during Onsite at Atlassian. The interviewer is testing your ability to translate a problem into clean, working code while discussing time and space complexity. Atlassian 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
- How would your solution change if the input was sorted?
- How would you test this solution thoroughly?
- How would you modify your solution to handle streaming input?
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Practice DSA ProblemsSample Answer
Problem Analysis
The problem requires us to implement a Bloom Filter, which is a probabilistic data structure that efficiently tests whether an element is a member of a set. It supports insert, delete, and lookup oper...
Approach
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Data Structure: Use a segment tree where each node represents a range of elements. Each node will store a dictionary (hash map) to maintain the count of elements within that range.
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**Insert...
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