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

IntermediatePending
Aug 2026

Summary

Took what seemed like a standard Ramp assessment and held my own until the 4th question absolutely wrecked me. Ended up at 75/100 and I'm still not over it.

Questions Asked (1)

Q1

What was the 4th and final question on the Ramp online assessment that you were unable to complete?

Algorithms & Data Structures
Author's notes

Could not finish it.

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AI HintsAI Generated

Suggested Approach

Acknowledge the specific question honestly, then pivot to demonstrating your problem-solving process and what you learned from the experience. Focus on how you would approach the problem now, showing growth and technical depth.

Pro tip: Even if you don't remember the exact question, describe the type of problem and your approach, emphasizing your ability to learn and adapt. This shows resilience and a growth mindset.

1. Acknowledge and Clarify

If you don't recall the exact question, be honest but try to describe the problem type and context. If you do remember, briefly restate it to ensure understanding.

2. Explain Your Initial Approach

Describe how you initially attempted to solve it, including any algorithms or data structures you considered. Highlight your thought process and any challenges encountered.

3. Identify the Roadblock

Explain why you were unable to complete it—whether due to time constraints, complexity, or a specific technical hurdle. Be specific but avoid making excuses.

4. Propose a Solution or Learning

Discuss how you would approach it now, or what you learned from the experience. This could include a more efficient algorithm, a different data structure, or a systematic debugging strategy.

5. Connect to Role and Growth

Relate the experience to your ability to handle challenges at Ramp, emphasizing your commitment to continuous learning and problem-solving.

Key Points to Mention

  • Specific algorithm or data structure relevant to the problem (e.g., dynamic programming, graph traversal, etc.)
  • Time and space complexity considerations
  • Debugging or testing strategies you used or would use
  • Lessons learned and how you improved
  • Relevance to Ramp's engineering challenges (e.g., scalability, optimization)
  • Your problem-solving methodology and resilience

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