AB-100 Certification Practice Question #77

Question

A company has Microsoft Power Platform development, staging, and production environments. Each environment has its own Microsoft Dataverse tables and Azure AI Search index.

You are designing an application lifecycle management (AIM) process to deploy a Microsoft Copilot Studio agent between the environments.

The company has a Copilot Studio agent named Agent1 in development. Agent1 uses the following grounding data sources:

•	A Dataverse table named CustomerOrders
•	An Azure AI Search index named customer-knowledge

You need to deploy Agent1 to production. The solution must ensure that the agent uses the production grounding data sources, minimizes downtime, and handles credentials and endpoints securely.

What should you include in the deployment package solution, and what should you reconfigure after the deployment? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Accepted Answer

In Power Platform ALM, you include the agent and references to its data sources in the solution package — not the actual data sources (which already exist in each environment) and not the connections (which are environment-specific). After deploying the solution to production, you must reconfigure both the Dataverse connection (pointing to the production CustomerOrders table) and the Azure AI Search connection (pointing to the production customer-knowledge index) because both contain environment-specific endpoints and credentials. The omath comment correctly articulates this Power Platform ALM pattern, which is confirmed by the MS Learn ALM documentation.

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