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Amazon·Software Engineer·Online Assessment (OA)·Intermediate

IntermediatePending
May 2026Remote

Summary

Took the Amazon OA recently. DSA portion went fine but the AI-assisted Spring Boot bug fix section was rough, only cleared 1 out of 6 test cases and now I'm wondering if anyone's actually gotten a clean sweep on that part.

Questions Asked (1)

Q1

In the Spring Boot bug fix section of the OA, can you identify and fix the bugs in the provided codebase to pass all test cases?

API & IntegrationsRoot Cause AnalysisTechnical Trade-offs
Author's notes

Got through the DSA stuff okay but this section completely humbled me.

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AI HintsAI Generated

Suggested Approach

Start by running the test suite to identify failing tests and understand the expected behavior. Then systematically debug each failure by tracing the code path, checking for common Spring Boot pitfalls like misconfigured beans, incorrect annotations, or improper exception handling. Fix one bug at a time, re-running tests to ensure no regressions.

Pro tip: Demonstrate a methodical approach by documenting each bug's root cause and the fix, and mention how you would prevent similar issues in the future (e.g., adding unit tests or improving error handling). This shows maturity and a focus on quality.

1. Run Tests and Analyze Failures

Execute the test suite to see which tests fail and examine the error messages and stack traces to pinpoint the problematic areas.

2. Inspect Code and Identify Root Causes

Review the relevant code sections, checking for common Spring Boot issues such as incorrect annotations, missing dependencies, misconfigured properties, or logic errors.

3. Implement Fixes Incrementally

Apply fixes one at a time, ensuring each change addresses the root cause without introducing new issues. Re-run tests after each fix to validate.

4. Verify All Tests Pass

After all fixes, run the full test suite to confirm all tests pass and the application behaves as expected.

5. Reflect and Prevent Future Bugs

Summarize the bugs found and fixes applied, and suggest improvements like additional tests or code reviews to prevent similar issues.

Key Points to Mention

  • Understanding the test cases and expected behavior before diving into code
  • Common Spring Boot pitfalls: bean configuration, dependency injection, annotations like @Autowired, @Service, @RestController
  • Debugging techniques: logging, breakpoints, and using Spring Boot Actuator for insights
  • Importance of incremental fixes and regression testing
  • Root cause analysis: distinguishing between symptoms and underlying issues
  • Technical trade-offs: balancing quick fixes vs. robust solutions, and considering maintainability

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.