AB-100: Agentic AI Business Solutions Architect › Practice Assessment for Exam AB-100: Agentic AI Business Solutions Architect › Question #26621
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Q

A company uses Microsoft Dynamics 365 Customer Service and provides agents with a Copilot experience during live chats.

Policy and troubleshooting content is stored as unstructured documents in Azure Blob Storage, and agents must search across thousands of documents.

You need to recommend a RAG solution that supports semantic search, grounds responses in the latest and most relevant content, and runs on managed Azure services within a single Azure region.

Which combination of services should you recommend?

ID: #26621 Practice Assessment for Exam AB-100: Agentic AI Business Solutions Architect 7 views
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#26621Q ID
ModerateDifficulty
Practice Assessment for Exam AB-100: Agentic AI Business Solutions ArchitectTopic
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  • A Azure AI Services with Azure Blob Storage and custom embeddings ✔ ✖
  • B Azure Cosmos DB with integrated vector search and Azure OpenAI ✔ ✖
  • C Azure OpenAI and Azure AI Search ✔ ✖
  • D Microsoft Copilot Studio with Azure Blob Storage grounding ✔ ✖
Correct Answer

Explanation

Objective:

2.1 Design AI and agents for business solutions

What This Item Tests:

Propose Microsoft AI services for a given requirement

Additional Reading:

Select Azure PaaS solutions for AI

Explore Azure OpenAI

Choose an AI services technology

Rationale:

Azure AI Search provides scalable, semantic and vector‑based retrieval over large collections of unstructured documents, and Azure OpenAI generates grounded responses using the retrieved content. Together, they form the standard managed RAG architecture on Azure and support single‑region deployments. Azure Cosmos DB with vector search does not provide semantic ranking or large‑scale document indexing, Copilot Studio grounding does not replace a full retrieval engine, and Azure AI Services with Blob Storage and custom embeddings lack a managed search layer for semantic retrieval.

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