Solve Subset Sum And Return All Matching Subsets

Last updated: July 6, 2026

Quick Overview

The candidate is asked to solve the Subset Sum problem by finding all subsets of a given set that sum up to a specified target value.

Apple
Coding & Algorithms
Software Engineer
Apple
July 6, 2026
Software Engineer
Technical Screen
Coding & Algorithms
Medium

8

0

47 solved


The candidate is asked to solve the Subset Sum problem by finding all subsets of a given set that sum up to a specified target value.

This question is typically asked during the technical screen to evaluate a candidate's problem-solving skills and understanding of algorithms. The interviewer is looking for the candidate's ability to approach a combinatorial problem, implement efficient algorithms, and demonstrate coding proficiency. This question also assesses the candidate's ability to handle edge cases and optimize their solution.

What the Interviewer Expects
  • Clearly explain the approach to solving the problem.
  • Implement a correct and efficient algorithm to find all matching subsets.
  • Discuss the time and space complexity of the solution.
  • Handle edge cases, such as empty sets or target sums that cannot be achieved.
  • Provide a clean and readable code implementation.
Key Topics to Cover
Backtracking
Recursion
Dynamic Programming
Combinatorial Algorithms
Time Complexity
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 to handle larger input sizes?
  • Can you explain how dynamic programming could be applied to this problem?
  • What are the limitations of your current approach?
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Practice DSA Problems
Sample Answer
Approach

To solve the Subset Sum problem, we can use a backtracking approach to explore all possible subsets of the given set. We will recursively build subsets and check if their sum matches the target. If it...

Algorithm

Here is a Python implementation of the backtracking approach:

def subset_sum(nums, target): result = [] def backtrack(start, path, remaining): if remaining == 0: ...

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