AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are building an agent in Azure AI Foundry that needs to retrieve information from a company SharePoint site. Which component should you implement to ground the agent?
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 connector
Azure AI Search with a SharePoint indexer is the standard way to ground agents in external document stores.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Blob Storage integration
Why it's wrong here
Blob storage is for unstructured files, not live SharePoint sites.
- ✓
Azure AI Search with a SharePoint connector
Why this is correct
The SharePoint connector enables indexing for retrieval.
- ✗
Direct REST API call to SharePoint
Why it's wrong here
Direct calls don't handle the vectorization required for RAG.
- ✗
Microsoft Graph Data Connect directly to the model
Why it's wrong here
While useful, it isn't an 'agent component' for immediate grounding.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-103 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-103 exam.