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
July 6, 20268
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
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 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 ProblemsSample 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:
...