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Meta·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
May 2026

Summary

Meta SWE coding round, just the one array manipulation problem but they pushed hard on the space complexity angle. Pretty standard vibe but the follow-up constraint is where it gets interesting.

Questions Asked (1)

Q1

Given an integer array, rotate it to the right by k positions. Follow-up: can you do it in O(1) extra space?

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

My first instinct was to just slice and concatenate which works fine but uses extra space.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the problem constraints (e.g., k can be larger than array length, in-place modification expected) and discussing a simple approach like using an extra array or reversing. Then, for the follow-up, explain the reversal algorithm: reverse the entire array, then reverse the first k elements, then reverse the remaining n-k elements. This achieves O(1) extra space and O(n) time.

Pro tip: Mention that you can optimize by taking k modulo n to handle cases where k > n, and note that the reversal method is optimal for space and time. Also, be prepared to discuss trade-offs between different approaches (e.g., using cyclic replacements vs. reversal) in terms of code complexity and constant factors.

1. Clarify requirements and constraints

Ask about input size, whether k can be negative or larger than array length, and if in-place modification is required. Confirm that O(1) extra space is desired for the follow-up.

2. Discuss naive approaches

Mention simple solutions like creating a new array or rotating one step at a time (O(n*k) time). Explain their time/space complexities and why they might not be optimal.

3. Present the reversal algorithm

Explain the three-step reversal: reverse the whole array, then reverse the first k elements, then reverse the last n-k elements. Show that this yields the rotated array.

4. Analyze complexity and edge cases

State that time complexity is O(n) and space is O(1). Handle edge cases: k=0, k=n, k>n (use k % n), empty array, and single-element array.

5. Discuss alternative O(1) space approaches

Mention cyclic replacements (juggling algorithm) as another O(1) space method, and compare its trade-offs (e.g., more complex to implement, potential for infinite loops if not careful).

Key Points to Mention

  • Time and space complexity analysis for each approach
  • Handling k > n by taking k modulo n
  • In-place modification and O(1) extra space requirement
  • The reversal algorithm's three steps and why it works
  • Edge cases: empty array, k=0, k=n, negative k (if allowed)
  • Trade-offs between reversal and cyclic replacement methods

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