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

JuniorPending
Jun 2026

Summary

Took the Amazon new grad SDE online assessment and hit TLE on question 1 with 11 out of 15 test cases passing. Wondering if anyone else got through with a similar score.

Questions Asked (1)

Q1

OA coding problem where 11 out of 15 test cases passed before hitting a time limit error. What was the question and did anyone advance with that score?

Algorithms & Data Structures
Author's notes

Got 11/15 on q1 due to TLE and now just sitting here refreshing my inbox.

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AI HintsAI Generated

Suggested Approach

Acknowledge that you don't have the exact question, but explain that the scenario is common in Amazon OA (e.g., a problem requiring an optimized algorithm). Focus on how you would handle a time limit error: analyze complexity, identify bottlenecks, and optimize. Then address the advancement question by noting that Amazon typically considers overall performance, not just one test case, and that many candidates advance with partial scores.

Pro tip: Emphasize that Amazon values problem-solving and optimization skills over perfect scores; showing how you would debug and improve a solution is more impressive than knowing the exact question.

1. Clarify the scenario

State that without the exact problem statement, you can't specify the question, but you can discuss the typical pattern of OA problems that cause time limit errors.

2. Analyze the time limit error

Explain that passing 11/15 test cases suggests the solution is correct but inefficient; the failing cases likely involve larger inputs or edge cases.

3. Propose optimization strategies

Discuss common optimizations: improving time complexity (e.g., from O(n^2) to O(n log n)), using efficient data structures, or avoiding redundant computations.

4. Address advancement criteria

Explain that Amazon's hiring decision is holistic; a partial score can still lead to advancement if other sections (e.g., work simulation, logical reasoning) are strong.

5. Conclude with lessons learned

Summarize how you would approach similar problems in the future: test with large inputs, analyze complexity early, and practice optimization techniques.

Key Points to Mention

  • Time complexity analysis (Big O notation)
  • Common optimization techniques (e.g., two-pointer, sliding window, dynamic programming, hash maps)
  • Amazon's Leadership Principles (e.g., Dive Deep, Learn and Be Curious)
  • Holistic evaluation in Amazon OA (coding, work simulation, logical reasoning)
  • Importance of edge cases and large input testing
  • Strategies for debugging time limit errors (profiling, identifying bottlenecks)

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