No specifics were shared about what the problem actually was, just that it was a coding question in round three.
Start by clarifying the problem and walking through examples to confirm understanding, then discuss brute force and optimize with appropriate data structures. Code cleanly while explaining your reasoning, and test with edge cases before discussing complexity.
Pro tip: Verbalize your thought process continuously and treat the interviewer as a collaborator—ask for hints if stuck, but always propose a direction first. Apple values practical problem-solving and attention to detail, so mention trade-offs like memory vs. speed and real-world constraints.
Restate the problem in your own words, ask clarifying questions about input constraints, expected output, and edge cases. Confirm assumptions with the interviewer before proceeding.
Walk through 2-3 examples, including edge cases, to solidify understanding and uncover patterns. Use these to validate your approach later.
Propose a brute-force solution first, then optimize by identifying bottlenecks and choosing appropriate data structures or algorithms. Explain trade-offs (time vs. space) and justify your choice.
Write clean, modular code while explaining each step. Use meaningful variable names and handle edge cases explicitly.
Dry-run your code with the earlier examples and additional edge cases. State the time and space complexity, and discuss potential improvements or optimizations.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.