AI-102 Implement generative AI solutions Practice Question
You are building a generative AI solution using Azure OpenAI Service. The application must retrieve information from a large private knowledge base. You need to ensure the model uses only relevant documents from the knowledge base to generate answers. Which feature should you configure?
⚠ Common exam trap
Many candidates confuse fine-tuning (D) with retrieval-augmented generation (RAG), assuming that training the model on the knowledge base is the best way to ground answers, when in fact RAG with vector search is the correct pattern for dynamic, relevant document retrieval without modifying the base model.
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 Azure OpenAI On Your Data with vector search
B is correct because Azure OpenAI On Your Data with vector search enables the model to retrieve only the most semantically relevant documents from a private knowledge base by converting both the user query and the documents into high-dimensional vectors and performing similarity search. This ensures the model's responses are grounded in the specific, relevant information without exposing the entire knowledge base to the model.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Implement a custom prompt flow
Why it's wrong here
Prompt flow is a tool to build LLM-based applications, but not the specific retrieval feature.
- ✓
Use Azure OpenAI On Your Data with vector search
Why this is correct
This feature enables retrieval-augmented generation (RAG) using vector search.
- ✗
Configure a content filter
Why it's wrong here
Content filters block harmful content, not retrieve documents.
- ✗
Fine-tune the model with the knowledge base
Why it's wrong here
Fine-tuning does not enable dynamic retrieval of documents.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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