AI-102 Implement agentic AI solutions Practice Question
A company is using Azure OpenAI Service to power a customer support agent. The agent sometimes generates incorrect information when it cannot find an answer in the knowledge base. The team wants to ensure the agent only responds using information from the knowledge base and explicitly states when it does not know the answer. Which configuration should the team use?
⚠ Common exam trap
Test-takers frequently confuse prompt engineering (Option D) with a reliable grounding mechanism, not realizing that without a retrieval-augmented generation (RAG) architecture and strict content filtering, the model can still hallucinate even when instructed otherwise.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use 'use your own data' feature with strict content filtering and set the model to only respond based on retrieved documents.
The 'use your own data' feature in Azure OpenAI Service allows you to restrict the model to answer only from the retrieved documents, ensuring responses are grounded in the knowledge base. Strict content filtering further prevents the model from generating unverified information, and the explicit setting to respond based solely on retrieved documents directly addresses the requirement to state when it does not know the answer.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use a custom model fine-tuned on the knowledge base and disable content filtering.
Why it's wrong here
Fine-tuning does not guarantee adherence to a specific knowledge base and disabling filtering is risky.
- ✗
Use a system message that says 'If you don't know, say you don't know' and rely on the model's training.
Why it's wrong here
The model may still generate incorrect information despite the instruction.
- ✓
Use 'use your own data' feature with strict content filtering and set the model to only respond based on retrieved documents.
Why this is correct
This ensures responses are grounded in the provided data.
- ✗
Use prompt engineering with a system message that instructs the model to only answer from the knowledge base, with no additional filtering.
Why it's wrong here
Prompt engineering is not sufficient to prevent hallucinations.
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Senior Network & Security Engineer · founder of Courseiva
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