Straightforward problem, passed all 15 test cases without much trouble.
Clarify the problem constraints and edge cases, then outline a brute-force solution before optimizing with appropriate data structures. Implement clean, modular code and test with provided examples plus additional edge cases.
Pro tip: Amazon values customer obsession and ownership; explicitly state how your solution handles scale and failure modes, and mention trade-offs between time and space complexity.
Restate the problem in your own words, ask clarifying questions about input size, constraints, and expected output format.
Walk through the provided examples and identify edge cases like empty input, large values, duplicates, or negative numbers.
Propose a brute-force solution, analyze its complexity, then optimize using appropriate data structures or algorithms.
Write clean, modular code with meaningful variable names, then test with examples and edge cases, explaining your reasoning.
State the final time and space complexity, discuss trade-offs, and suggest potential improvements or alternative solutions.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Clarify the problem requirements and constraints, then discuss multiple algorithmic approaches with their trade-offs before coding. Implement the most efficient solution, test it with edge cases, and analyze time and space complexity.
Pro tip: Amazon values customer obsession and ownership; relate your solution to real-world impact and scalability, and always consider edge cases and failure scenarios.
Ask clarifying questions to confirm input/output formats, constraints, and edge cases. Restate the problem in your own words to ensure alignment.
Brainstorm multiple solutions (e.g., brute force, optimized) and discuss their time/space trade-offs. Choose the best approach based on constraints.
Write clean, modular code with meaningful variable names. Explain your thought process as you code, and handle edge cases explicitly.
Walk through test cases, including edge cases, to verify correctness. Debug any issues and refine the solution.
State the time and space complexity of your solution and discuss potential optimizations or alternative approaches.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.