Start by clarifying the problem constraints and edge cases, then discuss a brute-force solution before optimizing. Focus on explaining your thought process and trade-offs, as Apple values clear communication and problem-solving skills over just getting the right answer.
Pro tip: Verbalize your reasoning continuously and ask clarifying questions early; interviewers assess how you think and collaborate, not just the final code.
Ask clarifying questions about input size, constraints, edge cases, and expected output. Restate the problem in your own words to confirm understanding.
Walk through a few concrete examples, including edge cases, to identify patterns and validate your understanding.
Propose a brute-force solution first, then analyze its time and space complexity. Brainstorm optimizations using appropriate data structures or algorithms.
Write clean, modular code while explaining your logic. Test with the examples and edge cases, and debug if necessary.
State the final time and space complexity, discuss potential improvements or trade-offs, and mention any assumptions made.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.