Find a Maximum-Sum Window in a Sparse Array

Last updated: July 10, 2026

Quick Overview

The question asks the candidate to find a contiguous subarray (window) within a sparse array that has the maximum sum. The candidate should consider the challenges posed by the sparsity of the array.

Amazon
Coding & Algorithms
Software Engineer
Amazon
July 10, 2026
Software Engineer
Online Assessment
Coding & Algorithms
Hard

4

0

42 solved


The question asks the candidate to find a contiguous subarray (window) within a sparse array that has the maximum sum. The candidate should consider the challenges posed by the sparsity of the array.

This question is often asked during online assessments to evaluate a candidate's problem-solving skills and understanding of algorithms, particularly in handling edge cases like sparse data. The interviewer is looking for the candidate's ability to implement efficient algorithms and their understanding of data structures, as well as their approach to optimizing performance given the constraints of the problem.

What the Interviewer Expects
  • Clearly explain the approach to solving the problem.
  • Identify edge cases related to the sparse nature of the array.
  • Implement a correct and efficient algorithm.
  • Discuss the time and space complexity of the solution.
  • Provide a thorough explanation of the code.
Key Topics to Cover
Sliding Window
Dynamic Programming
Sparse Arrays
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 approach if the array were not sparse?
  • Can you explain the difference between this problem and finding a maximum subarray sum?
  • What optimizations can you apply to improve the performance of your solution?
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Sample Answer
Approach

To solve the problem of finding a maximum-sum window in a sparse array, we can utilize a sliding window technique. This method allows us to maintain a dynamic sum of the current window while iterating...

Algorithm
  1. Initialize variables for the maximum sum and current window sum.
  2. Use a loop to iterate through the array. For each element:
    • If it is non-zero, add it to the current window sum.
    • If it i...

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