Find the K Closest Pairs in a Sorted Array

Last updated: August 9, 2026

Quick Overview

The question asks the candidate to find the K closest pairs in a sorted array, which involves identifying pairs of elements that are closest in value.

Apple
Coding & Algorithms
Software Engineer
Apple
August 9, 2026
Software Engineer
Onsite
Coding & Algorithms
Medium

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The question asks the candidate to find the K closest pairs in a sorted array, which involves identifying pairs of elements that are closest in value.

This question is typically asked in the onsite interview round to assess a candidate's problem-solving skills and their ability to work with algorithms and data structures. Interviewers are looking for a clear understanding of how to efficiently find pairs in a sorted array, as well as the candidate's ability to optimize their solution for performance.

What the Interviewer Expects
  • Explain the approach to finding closest pairs clearly.
  • Identify edge cases and how to handle them.
  • Provide an efficient algorithm with a clear time complexity analysis.
  • Write clean and correct code that follows best practices.
  • Discuss potential optimizations and trade-offs in the solution.
Key Topics to Cover
Sorting
Two-pointer technique
Time complexity
Data structures
Algorithm optimization
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 approach change if the array were not sorted?
  • Can you explain the time complexity of your solution?
  • What would you do if K is larger than the number of possible pairs?
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Practice DSA Problems
Sample Answer
Approach

To find the K closest pairs in a sorted array, we can utilize the two-pointer technique. Since the array is sorted, we can efficiently find pairs by maintaining two pointers that traverse the array. T...

Algorithm
  1. Initialize two pointers, i at the start and j at the end of the array.
  2. Create a min-heap to store the pairs along with their differences.
  3. While i < j, calculate the difference between t...

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