AB-100: Agentic AI Business Solutions Architect › Practice Assessment for Exam AB-100: Agentic AI Business Solutions Architect › Question #26646
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Q

A company uses a Microsoft Copilot Studio agent grounded in an Azure AI Search index built from policy documents.

Policy content is updated and deleted frequently. In-place index updates have caused downtime and stale results.

You need to update the indexing approach to maintain availability and allow rollback.

Which deployment strategy should you use?

ID: #26646 Practice Assessment for Exam AB-100: Agentic AI Business Solutions Architect 4 views
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#26646Q ID
ModerateDifficulty
Practice Assessment for Exam AB-100: Agentic AI Business Solutions ArchitectTopic
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  • A Update the existing index in place. ✔ ✖
  • B Query the source documents at runtime. ✔ ✖
  • C Fine-tune the model by using updated policy content. ✔ ✖
  • D Build a new index and switch queries after validation. ✔ ✖
Correct Answer

Explanation

Objective:

2.1 Design AI and agents for business solutions

What This Item Tests:

Design data processing for AI models and grounding

Additional Reading:Grounding Data Design for AI Workloads on Azure

Rationale:

A side-by-side index deployment allows validation before switching traffic, prevents downtime, and supports rollback if issues are detected. In-place updates risk availability, querying source documents does not provide a stable grounding layer, and fine-tuning does not address the timely removal of deleted content from search results.

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