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Apple·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
Jun 2026

Summary

Apple SWE interview with a matrix rotation problem. A twist on the classic LC 48 but counter-clockwise, which tripped me up more than I expected for something that feels like it should be routine.

Questions Asked (1)

Q1

Given an n x n 2D matrix, rotate it 90 degrees counter-clockwise in place.

Algorithms & Data Structures
Author's notes

I knew the clockwise version cold so I figured this was easy.

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AI HintsAI Generated

Suggested Approach

Clarify that the rotation is counter-clockwise and in-place, then explain that a 90° CCW rotation can be achieved by first reversing each row (horizontal flip) followed by transposing the matrix. Walk through a small example to verify the transformation, and analyze time and space complexity.

Pro tip: Mention that the same result can be achieved by reversing the columns then transposing, or by a 4-way cyclic swap, and note that the row-reverse-then-transpose method is simpler and less error-prone. Also, explicitly state that the operation is done in-place with O(1) extra space.

1. Clarify and Confirm

Restate the problem to ensure you understand: rotate an n x n matrix 90° counter-clockwise, in-place. Ask if n is always square and if the matrix can be modified.

2. Identify the Transformation

Determine the mathematical mapping: element at (i, j) moves to (n-1-j, i). Alternatively, recognize that a horizontal flip (reverse each row) followed by a transpose achieves the rotation.

3. Outline the Algorithm

Describe the two-step process: first, reverse each row of the matrix; second, swap elements across the main diagonal (transpose). Explain that this yields the 90° CCW rotation.

4. Analyze Complexity

State that the algorithm runs in O(n^2) time, which is optimal since every element must be moved. Space complexity is O(1) because the rotation is done in-place with only a few temporary variables.

5. Verify with Example

Walk through a 3x3 or 4x4 matrix step-by-step to demonstrate the transformation and confirm correctness. Optionally, discuss edge cases like n=1 or n=0.

Key Points to Mention

  • In-place operation with O(1) extra space
  • Time complexity O(n^2) is optimal
  • Two-step method: reverse rows then transpose
  • Alternative: reverse columns then transpose, or 4-way cyclic swaps
  • Handling of square matrices (n x n) and edge cases (n=0,1)
  • Verification with a small example to ensure correctness

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