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Microsoft·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
Jul 2026

Summary

Microsoft SWE coding round. One LeetCode problem in the 400s range, and I basically fumbled through it with hints and ran out of time before finishing.

Questions Asked (1)

Q1

Solve a LeetCode-style algorithmic problem in the 400s difficulty range involving heap-based logic.

Algorithms & Data Structures
Author's notes

Forgot the problem details pretty fast.

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AI HintsAI Generated

Suggested Approach

Clarify the problem constraints and edge cases, then identify the heap-based pattern (e.g., top K, merging sorted lists, scheduling). Explain the heap operations and complexity, then implement cleanly with tests.

Pro tip: Verbalize your thought process and trade-offs; interviewers value clear reasoning over silent coding. Also, consider if a heap is truly optimal—sometimes a quickselect or bucket sort is better.

1. Understand and Clarify

Restate the problem in your own words, ask about input size, data types, and edge cases (empty input, duplicates, etc.).

2. Identify Pattern and Approach

Determine if the problem fits a heap pattern (e.g., kth largest, merge k sorted, scheduling). Discuss alternative approaches and why heap is suitable.

3. Design and Analyze

Outline the algorithm step-by-step, specify heap type (min/max), and analyze time/space complexity. Mention any optimizations.

4. Implement and Test

Write clean code with meaningful variable names. Walk through a small example and test edge cases.

5. Review and Optimize

Check for off-by-one errors, discuss potential improvements, and confirm complexity with the interviewer.

Key Points to Mention

  • Heap operations: push O(log n), pop O(log n), peek O(1)
  • Choosing between min-heap and max-heap based on problem
  • Time complexity: O(n log k) for top k elements using a heap of size k
  • Space complexity: O(k) for heap storage
  • Handling edge cases: empty input, k > n, duplicates
  • Alternative approaches: quickselect (average O(n)), sorting (O(n log n))

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.