Went with two pointers, felt reasonable at the time.
Clarify the problem by defining what 'merging branches with conflicts' means in string terms, then propose a two-pointer or stack-based approach to identify and resolve conflicts. Walk through a concrete example, discuss time/space complexity, and handle edge cases like empty strings or multiple conflicts.
Pro tip: Demonstrate Amazon Leadership Principles by proactively discussing trade-offs (e.g., time vs. space) and asking clarifying questions about conflict resolution rules before coding.
Ask questions to understand the input format, conflict markers, and expected output. Confirm whether conflicts are resolved by choosing one branch or merging characters.
Establish clear rules for resolving conflicts, such as preferring the first branch, concatenating, or using a priority. This ensures a deterministic solution.
Select an efficient approach, e.g., two pointers for linear scan or a stack for nested conflicts. Explain why it's optimal for the given constraints.
Trace the algorithm on a sample input, highlighting how conflicts are detected and resolved step by step.
State time and space complexity, and discuss edge cases like empty strings, no conflicts, or all conflicts.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
This was supposed to be AI-assisted but the AI tool on the platform errored out every single time I tried to use it.
Start by reproducing the bugs with tests or manual calls, then systematically isolate each issue using logs, debugger, and code inspection. Prioritize fixes based on impact and verify each fix with automated tests to prevent regressions.
Pro tip: Demonstrate a methodical approach by first writing a failing test for each bug before fixing it—this shows you value test-driven debugging and ensures the fix is correct. Also, mention that you'd check for common Spring Boot pitfalls like misconfigured beans, transaction boundaries, and improper exception handling.
Run the application and execute test cases to reproduce each bug. Document the symptoms, error messages, and stack traces for each issue.
Use debugging tools, logging, and code review to trace each bug to its source. Check for common Spring Boot issues like incorrect annotations, dependency injection problems, or misconfigured properties.
Rank bugs by severity and fix them one by one, ensuring each fix is minimal and targeted. Write unit or integration tests to confirm the fix and prevent regressions.
Run the full test suite and perform manual testing to ensure all bugs are resolved and no new issues are introduced. Validate that the application meets the original requirements.
Summarize the root causes and suggest improvements to prevent similar bugs, such as better test coverage, code reviews, or static analysis tools.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.