AI Tools: MLflow 3 GenAI Prompt Registry

End-of-lesson check

10 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-tools-ai-mlflow-3-genai-prompts-r10a4-creators

1. What is the main idea of "AI Tools: MLflow 3 GenAI Prompt Registry"?

   1. How MLflow 3 manages versioned prompts, evals, and deployments for GenAI apps.
   2. Use AI as the final authority for the whole decision
   3. Avoid checking the answer once it sounds polished
   4. Focus only on speed instead of judgment

2. Which concept is most central to "AI Tools: MLflow 3 GenAI Prompt Registry"?

   1. prompt registry
   2. mlflow
   3. deployments
   4. unrelated shortcut

3. Which use of AI fits this topic best?

   1. Replace human prompt review
   2. Let the AI decide what matters without your review
   3. Register prompt versions
   4. Use the answer before checking whether it fits the situation

4. Which limitation should you watch for in this topic?

   1. Register prompt versions
   2. Explain the topic in plain language
   3. Organize a draft for human review
   4. Replace human prompt review

5. What should a careful learner remember about "Alias-promotion prompt"?

   1. Promote a prompt from staging to production only when its eval beats the current alias.
   2. Skip the context so the tool can guess faster
   3. Treat the output as private even after sharing it online
   4. Use the answer without checking the source

6. You want to use AI after this lesson. What is the safest next step?

   1. Act immediately because the AI answer is written clearly
   2. Use AI for drafting and comparison, but verify before publishing or relying on it.
   3. Hide uncertainty so the final answer looks cleaner
   4. Use private or sensitive details before checking permission

7. How should AI output about mlflow be treated?

   1. As proof that no other source is needed
   2. As a replacement for context, consent, or expert review
   3. As a draft or helper output that still needs human judgment and verification
   4. As something that becomes correct when it sounds confident

8. Name one way to verify an AI answer about mlflow.

9. Which action would help you apply "AI Tools: MLflow 3 GenAI Prompt Registry" responsibly?

   1. Resolve UI/UX questions
   2. Use the tool to avoid thinking through the tradeoff
   3. Keep going even if the output conflicts with a trusted source
   4. Tie evals to versions

10. Which choice is a bad use of AI for this lesson?

    1. Resolve UI/UX questions
    2. Register prompt versions
    3. Ask for a plain-language explanation of prompt registry
    4. Compare the answer with a trusted source