A company uses Dynamics 365 Customer Service and Finance. They have a Copilot Studio agent that handles customer inquiries and also accesses financial data. The agent is updated frequently, but the finance team requires that any change to the agent's access to financial data be approved by them. The customer service team wants to deploy updates quickly. What should you do?

Allow the customer service team to approve all changes, including financial data access.

Disable the agent's access to financial data to avoid approval requirements.

Require finance approval for all agent updates.

Implement a change advisory board (CAB) that reviews and approves any changes to the agent's financial data access, while other agent updates follow a standard CI/CD pipeline.

A team manages several Microsoft Foundry Agents that use shared datasets and custom models. The team needs to implement a process to track changes to the agents, datasets, and models, and to roll back to a previous version if a deployment causes issues. What should you configure?

Manual snapshots of the agents and datasets taken weekly

A monitoring dashboard that alerts on performance degradation

Version control for all components and automated deployment pipelines with rollback capabilities

A shared database that stores the latest version of each component

A team develops a custom AI model that is used by multiple Microsoft Foundry Agents. The model is retrained weekly, but the agents have different performance requirements. Some agents need the latest model immediately, while others require a stable version. They need to manage this without disrupting the agents. What should you do?

Maintain multiple model versions in a registry and allow each agent to reference a specific version, with a rollout plan for agents that need the latest model.

Create a separate model for each agent.

Deploy the new model version to all agents at the same time.

Keep only the latest model version and force all agents to use it.

Which practice is important in an ALM process for AI in Dynamics 365 finance and supply chain?

Maintaining a changelog of AI model versions and their impact on business processes

Automatically deploying AI changes to production without approval

Using the same AI model version in all environments without any environment-specific configuration

Deleting all historical AI model versions to reduce storage costs

A company uses Copilot Studio agents that integrate with Dynamics 365 Finance and Customer Service. The agents use custom connectors that are updated by different teams. The company wants to implement a release process that minimizes downtime and allows rollback if a connector update fails. What should you do?

Use a single environment for all connectors and agents

Use a staged rollout with automated health checks and a rollback plan for each connector update

Deploy all connector updates at once to reduce complexity

Test connectors only in production to save time

Microsoft Certified:Agentic AI Business Solutions Architect

Domain 3Objective 3

Design the ALM Process for AI-powered Business Solutions AB-100 Practice Questions (Page 4)

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 16–20

16expert · hard
A company uses Dynamics 365 Customer Service and Finance. They have a Copilot Studio agent that handles customer inquiries and also accesses financial data. The agent is updated frequently, but the finance team requires that any change to the agent's access to financial data be approved by them. The customer service team wants to deploy updates quickly. What should you do?
Select an answer first
17application · medium
A team manages several Microsoft Foundry Agents that use shared datasets and custom models. The team needs to implement a process to track changes to the agents, datasets, and models, and to roll back to a previous version if a deployment causes issues. What should you configure?
Select an answer first
18expert · hard
A team develops a custom AI model that is used by multiple Microsoft Foundry Agents. The model is retrained weekly, but the agents have different performance requirements. Some agents need the latest model immediately, while others require a stable version. They need to manage this without disrupting the agents. What should you do?
Select an answer first
19foundation · easy
Which practice is important in an ALM process for AI in Dynamics 365 finance and supply chain?
Select an answer first
20expert · hard
A company uses Copilot Studio agents that integrate with Dynamics 365 Finance and Customer Service. The agents use custom connectors that are updated by different teams. The company wants to implement a release process that minimizes downtime and allows rollback if a connector update fails. What should you do?
Select an answer first

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Design the ALM Process for AI-powered Business Solutions AB-100 Practice Questions (Page 4)

Questions 16–20

A team manages several Microsoft Foundry Agents that use shared datasets and custom models. The team needs to implement a process to track changes to the agents, datasets, and models, and to roll back to a previous version if a deployment causes issues. What should you configure?

Which practice is important in an ALM process for AI in Dynamics 365 finance and supply chain?

Keep studying — Deploy AI-powered business solutions