Implement 3x3 matrix transforms and rotation

Quick Overview

This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Implement 3x3 matrix transforms and rotation states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

Implement 3x3 matrix transforms and rotation

Company: SIG (Susquehanna)

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: medium

Interview Round: Online Assessment

For a 3x3 matrix, write Python code to: (a) transpose it in-place; (b) swap any two rows and any two columns; (c) reverse a specified column and reverse all rows; and (d) rotate the matrix 90 degrees clockwise. Include example inputs and resulting matrices for each operation.

Overview: This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Implement 3x3 matrix transforms and rotation states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

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SIG (Susquehanna)
Aug 8, 2025
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Implement 3x3 matrix transforms and rotation

For a 3x3 matrix, write Python code to: (a) transpose it in-place; (b) swap any two rows and any two columns; (c) reverse a specified column and reverse all rows; and (d) rotate the matrix 90 degrees clockwise. Include example inputs and resulting matrices for each operation.

Clarifying Questions to Ask Guidance

  • Clarify input sizes, value ranges, mutability, return format, and tie-breaking.
  • State the target time and space complexity before coding.
  • Call out edge cases such as empty inputs, duplicates, invalid values, overflow, and boundary sizes.

What a Strong Answer Covers Guidance

  • A clear algorithm with the right data structures and enough pseudocode or code-level detail to implement it.
  • A correctness argument that explains why the algorithm covers all required cases.
  • Time and space complexity, plus at least one alternative approach when relevant.
  • Focused tests for normal cases, edge cases, and failure modes.

Follow-up Questions Guidance

  • How would the approach change if the input were streaming or too large for memory?
  • What invariants would you assert in production code?
  • Which tests would catch off-by-one, duplicate, or tie-breaking bugs?