Implement Priority Queue with streaming input

Last updated: October 31, 2025

Quick Overview

Implement a Hash Map data structure that supports get and put operations in O(log n) time.

Anduril
Coding & Algorithms
Machine Learning Engineer
Anduril
October 31, 2025
Machine Learning Engineer
Phone Screen
Coding & Algorithms
Hard

11

3

4,013 solved


Implement a Hash Map data structure that supports get and put operations in O(log n) time.

Coding interviews at Anduril focus on problem-solving approach as much as the final solution. The interviewer wants to see you break down the problem, consider edge cases, and optimize iteratively. Communication throughout the process is key.

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
Common algorithm patterns (sliding window, two pointers, BFS/DFS)
Binary search and divide and conquer
Graph algorithms and traversal
Time and space complexity analysis
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 your solution change if the input was sorted?
  • What is the worst-case input for your solution?
  • What if the input doesn't fit in memory?
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Sample Answer
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