AI-102 Plan and manage an Azure AI solution Practice Question
You are building a custom copilot using Microsoft Foundry. The copilot must answer questions based on internal documents stored in SharePoint. Which two components are essential for this solution?
⚠ Common exam trap
Many candidates confuse Azure AI Language CLU or Document Intelligence as necessary for understanding or processing documents, when in fact the core requirement is a search indexer to make SharePoint content queryable, and a generative model to produce answers from that content.
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
✓
Azure AI Search with a SharePoint indexer
Azure AI Search with a SharePoint indexer is essential because it ingests and indexes the internal documents from SharePoint, enabling full-text and vector search capabilities that the copilot uses to retrieve relevant content. This indexer automates the crawling of SharePoint sites and keeps the search index synchronized with document changes, which is critical for answering questions based on up-to-date internal data. Additionally, Azure OpenAI Service with a GPT model is necessary to generate natural language answers from the retrieved content, providing the conversational capability of the copilot. Together, they enable the 'retrieve-and-generate' pattern.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Azure AI Search with a SharePoint indexer
Why this is correct
Enables retrieval of relevant documents from SharePoint.
- ✗
Azure AI Language conversational language understanding (CLU)
Why it's wrong here
CLU is for intent detection, not document Q&A.
- ✗
Azure AI Document Intelligence (Form Recognizer)
Why it's wrong here
Used for extracting information from forms, not retrieval.
- ✓
Azure OpenAI Service with a GPT model
Why this is correct
Provides natural language generation.
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