Gave the optimal solution, no issues I can recall.
Start by clarifying the problem constraints and edge cases, then discuss possible traversal algorithms (BFS/DFS) and their trade-offs. Choose the most efficient approach based on the graph representation and problem requirements, and walk through a small example to validate your logic before coding.
Pro tip: Always analyze time and space complexity upfront and discuss potential optimizations, such as using iterative DFS to avoid recursion limits or bidirectional BFS for shortest paths. This shows you think about scalability and production-quality code.
Ask questions to understand the graph type (directed/undirected, weighted/unweighted), input format, and expected output. Confirm edge cases like disconnected graphs, cycles, and large inputs.
Outline BFS and DFS, explaining when each is preferable (e.g., BFS for shortest path in unweighted graphs, DFS for topological sort). Mention iterative vs recursive implementations and their trade-offs.
Select the optimal algorithm based on constraints, and justify your choice with time/space complexity analysis. Consider if any modifications (e.g., visited set, queue/stack) are needed.
Trace your algorithm on a small graph to demonstrate correctness and catch off-by-one errors. Verbally explain each step to show your thought process.
Write clean, modular code with meaningful variable names. After coding, test with edge cases (empty graph, single node, disconnected components) and discuss potential optimizations.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Got the right answer but my implementation used a pointer to track position rather than leaning on a cleaner split approach.
Clarify the problem, identify the stack-based pattern (e.g., monotonic stack, parentheses matching), and walk through examples to validate your approach. Discuss trade-offs between different solutions, then implement cleanly with edge cases in mind.
Pro tip: Verbalize your thought process and consider edge cases early; Google values clear communication and thoroughness over rushing to code.
Restate the problem in your own words and ask clarifying questions about input constraints, expected output, and edge cases.
Recognize that the problem likely involves a stack (e.g., monotonic stack, parentheses matching) and outline your high-level strategy.
Test your approach on provided examples and edge cases to ensure correctness and refine details.
Compare your stack-based solution with alternatives (e.g., brute force, two-pointer) in terms of time/space complexity and practicality.
Write clean, modular code, then mentally run through test cases and check for off-by-one errors or missing edge cases.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.