A company uses Dynamics 365 Finance and Customer Service. They want to implement a unified ALM process for AI features across both apps. What should you do first?

Use the same production environment for both apps to simplify deployment.

Create separate ALM processes for each app to avoid conflicts.

Deploy all AI features directly to production without testing.

Define a common release cadence and environment strategy for both apps.

A company uses Copilot Studio to create an agent that accesses a custom connector to retrieve order information. The connector's API is updated monthly by a third-party vendor. The company wants to test the agent with the new connector version in a non-production environment before updating the production agent. What should you do?

Create a separate environment for development, test the updated connector there, and promote the agent solution to production after validation

Disable the connector until the vendor provides a stable version

Update the connector directly in the production environment and monitor for issues

Use the same environment for development and production to simplify management

A finance department uses Dynamics 365 Finance with an AI model that predicts cash flow. The model is retrained monthly with new transaction data. They need to ensure that the model update does not disrupt the finance close process. What should you do?

Deploy the new model to production without testing.

Deploy the new model immediately whenever it is ready.

Schedule the model retraining and deployment during a maintenance window outside the finance close period.

Skip retraining and keep the current model to avoid any disruption.

What is a primary objective of an ALM process for AI solutions in Dynamics 365 customer experience and service apps?

To deploy AI features only to production to avoid testing delays

To eliminate the need for customer feedback in AI development

To replace all human customer service agents with AI

To ensure that AI features improve customer interactions without disrupting existing service workflows

A team manages Microsoft Foundry Agents that use custom AI models. They want to automate the deployment of model updates to the agents. What should they use?

A script that updates the model in production directly.

A manual process where developers upload the model file to each agent.

A CI/CD pipeline that triggers model deployment when a new model version is registered.

A scheduled job that retrains the model and deploys it without validation.

Microsoft Certified:Agentic AI Business Solutions Architect

Domain 3Objective 3

Design the ALM Process for AI-powered Business Solutions AB-100 Practice Questions (Page 9)

Part of the Deploy AI-powered business solutions domain, which accounts for 40–45% of the AB-100 exam. Microsoft does not publish an official question count, but from its 100-minute exam (~40–65 total, ~16–29 in this domain), expect 4–7 from this objective — we provide 49 practice questions to prepare you well beyond it. (estimate)

49questions here

10free pages

6concepts

40–45%of the exam

Questions 41–45

41application · medium
A company uses Dynamics 365 Finance and Customer Service. They want to implement a unified ALM process for AI features across both apps. What should you do first?
Select an answer first
42application · medium
A company uses Copilot Studio to create an agent that accesses a custom connector to retrieve order information. The connector's API is updated monthly by a third-party vendor. The company wants to test the agent with the new connector version in a non-production environment before updating the production agent. What should you do?
Select an answer first
43application · medium
A finance department uses Dynamics 365 Finance with an AI model that predicts cash flow. The model is retrained monthly with new transaction data. They need to ensure that the model update does not disrupt the finance close process. What should you do?
Select an answer first
44foundation · easy
What is a primary objective of an ALM process for AI solutions in Dynamics 365 customer experience and service apps?
Select an answer first
45application · medium
A team manages Microsoft Foundry Agents that use custom AI models. They want to automate the deployment of model updates to the agents. What should they use?
Select an answer first

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