Find the Most Frequently Used Meeting Room

Last updated: August 1, 2026

Quick Overview

The candidate is asked to write a function that identifies the most frequently used meeting room from a list of meeting records.

Amazon
Coding & Algorithms
Software Engineer
Amazon
August 1, 2026
Software Engineer
Technical Screen
Coding & Algorithms
Easy

15

0

155 solved


The candidate is asked to write a function that identifies the most frequently used meeting room from a list of meeting records.

This question is typically asked during the technical screen of a software engineering interview at Amazon to evaluate the candidate's problem-solving skills and coding proficiency. The interviewer is looking for the candidate's ability to analyze a problem, design an efficient solution, and implement it correctly in code. This question also assesses the candidate's understanding of data structures and algorithms, particularly in handling collections of data.

What the Interviewer Expects
  • Clearly outline the approach to solve the problem.
  • Utilize appropriate data structures for counting occurrences.
  • Implement the solution with correct syntax and logic.
  • Discuss the time and space complexity of the solution.
  • Handle edge cases, such as ties in frequency or empty input.
Key Topics to Cover
Data Structures
Hash Maps
Frequency Counting
Time Complexity
Edge Cases
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 modify your solution if the input size was very large?
  • Can you explain how your solution handles ties in frequency?
  • What would you do differently if you needed to track the least frequently used room instead?
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Practice DSA Problems
Sample Answer
Approach

To find the most frequently used meeting room, I will utilize a hash map (or dictionary) to count the occurrences of each room. This allows us to efficiently tally the number of times each room is use...

Algorithm
  1. Initialize an empty hash map to store room counts.
  2. Loop through each meeting record, updating the count for each room in the hash map.
  3. After counting, iterate through the hash map to find the...

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