Databricks Certified Generative AI Engineer Associate · Free Practice Question Medium
Question 13
A Generative AI Engineer is designing a QA system for a technical support platform. The system must include safeguards to avoid generating inaccurate troubleshooting steps. What is the most effective solution?
- A Reduce the model’s temperature to limit randomness.
- B Use a summarization model to condense troubleshooting guides.
- C Train the LLM on technical manuals and support guides.
- D Implement LLM guardrails, such as verification steps and retrieval-based augmentation.
Reveal correct answer
Correct answer: D
Explanation
Implementing guardrails like verification and retrieval ensures accurate, contextually relevant troubleshooting responses.A. Incorrect: Temperature adjustments reduce variability but do not inherently improve accuracy.
B. Incorrect: Summarization does not prevent inaccuracies in generated outputs.
C. Incorrect: Training improves domain knowledge but does not address the risk of inaccuracies.
D. Correct: Guardrails like retrieval-based augmentation ensure the system generates accurate and verifiable troubleshooting steps.
Discussion
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