Implement Priority Queue with O(n) time

Last updated: December 23, 2025

Quick Overview

Implement a Stack data structure that supports get and put operations in O(1) time.

Confluent
Coding & Algorithms
Software Engineer
Confluent
December 23, 2025
Software Engineer
Onsite
Coding & Algorithms
Easy

41

10

1,225 solved


Implement a Stack data structure that supports get and put operations in O(1) time.

This coding problem is frequently asked during Onsite at Confluent. The interviewer is testing your ability to translate a problem into clean, working code while discussing time and space complexity. Confluent expects candidates to write production-quality code, not just solve the puzzle.

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
Common algorithm patterns (sliding window, two pointers, BFS/DFS)
Graph algorithms and traversal
Hash maps and frequency counting
Binary search and divide and conquer
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 parallelize this solution?
  • Can you solve this in a single pass?
  • Can you solve this iteratively instead of recursively (or vice versa)?
  • How would your solution change if the input was sorted?
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