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Interview questions / Python & DSA
Python & DSA interview question

Partition into K equal-sum subsets

Given an integer array and k, determine whether the array can be partitioned into k non-empty subsets with equal sums. Explain pruning and complexity.

hardcodingEvidence 77/1001 source reportLinkedIn

The 60-second answer

Reject immediately if total_sum is not divisible by k or the largest value exceeds target=total_sum/k. Sort descending and backtrack by placing each value into a bucket without exceeding target.

Build the answer in this order

1
Clarify constraints

Reject immediately if total_sum is not divisible by k or the largest value exceeds target=total_sum/k.

2
Choose the approach

Sort descending and backtrack by placing each value into a bucket without exceeding target.

3
Prove complexity

Prune symmetric bucket states—especially identical empty/equal buckets—to avoid repeated equivalent work.

4
Test edge cases

Worst-case complexity is exponential; memoized used-mask formulations can trade memory for stronger pruning.

A useful interview mental model

This is the shape of a strong answer—not a script to memorize.

01Clarify
02Approach
03Implement
04Test
05Complexity

Senior-level signal

  • Explain state-compression and symmetry-pruning correctness, not just the code.
  • Discuss when pseudo-polynomial DP is feasible based on n and value bounds.

What the interviewer is really testing

Problem decomposition, correctness, data-structure choice, complexity reasoning, and clean implementation under pressure.

Likely follow-up questions

Can you improve the time or space complexity?
Which edge case is most likely to break this solution?
How would you test this under interview time pressure?

Common weak-answer patterns

  • Starting to code before constraints are clear.
  • Giving complexity without explaining why it is correct.
  • Skipping adversarial and boundary cases.