Find the Most Frequent Request IDs
Last updated: August 22, 2026
Quick Overview
The candidate is asked to write a function that identifies the most frequently occurring request IDs from a given list.
Amazon
August 22, 202614
0
143 solved
The candidate is asked to write a function that identifies the most frequently occurring request IDs from a given list.
This question is typically asked during the onsite interview round for software engineering roles at Amazon to assess the candidate's coding skills and problem-solving abilities. Interviewers are looking for a clear understanding of algorithms and data structures, as well as the ability to write efficient and clean code. This question also evaluates how well candidates can handle real-world data processing scenarios, which are common in Amazon's operational environment.
What the Interviewer Expects
- Clearly define the problem and constraints.
- Propose an efficient algorithm to solve the problem.
- Implement the solution in a clean and readable manner.
- Discuss the time and space complexity of the solution.
- Handle edge cases and provide test cases.
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 modify your solution for a very large dataset?
- Can you explain how you would handle ties in the frequency of request IDs?
- What alternative approaches could you consider for this problem?
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Practice DSA ProblemsSample Answer
Framing
To solve the problem of finding the most frequent request IDs, we need to analyze a list of request IDs and determine which ID appears the most times. This is a common task in data processing, where u...
Approach
We can utilize a hash map (or dictionary in Python) to count the occurrences of each request ID efficiently. This allows us to traverse the list once to build our frequency map, and then we can determ...
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