Prompt Engineering Debug Quiz

5 questions Pass: 70% +25 pts

Quiz covering Troubleshooting

Prompt Engineering Debug Quiz

5 questions | Pass: 70% | Earn 25 points

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

  1. 1

    If an LLM consistently ignores a specific constraint in your prompt (e.g., 'respond in under 50 words'), what is the most effective first step to troubleshoot?

  2. 2

    You are debugging a prompt that provides inconsistent results for a classification task. Which technique is most likely to improve stability and reliability?

  3. 3

    Your model is 'hallucinating' facts during a retrieval-augmented generation (RAG) task. Which modification is most likely to fix this issue?

  4. 4

    When debugging a prompt that is performing poorly on a multi-step logic task, what is the 'Chain-of-Thought' troubleshooting approach?

  5. 5

    You have optimized a prompt for GPT-4, but when you deploy it to a smaller, faster model (e.g., GPT-3.5 or an open-source equivalent), performance degrades significantly. Why?