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Microsoft Agentic AI Business Solutions Architect Sample Questions:
A company uses Azure OpenAI models that use grounding data from Microsoft Fabric for agents. The models are fine-tuned by using proprietary datasets.
You need to design a governance solution that meets the following requirements:
Restricts access to the grounding data to only assigned roles
Restricts model fine-tuning to only the AI engineering team
What should you include in the design? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Restricts access to grounding data # Microsoft Purview access policies; Restricts model fine-tuning # Role- based access control (RBAC) in Microsoft Foundry Why Microsoft Purview access policies is correct The grounding data is stored in Microsoft Fabric, and the requirement is to restrict access to that data to only assigned roles.
That is a data governance and access control requirement. Microsoft Purview access policies are the best fit because they are designed to govern and control access to data across enterprise data estates. In this case, they help ensure that only authorized roles can access the grounding data used by the agents.
From an AI business solutions perspective, grounding data is often one of the most sensitive parts of the solution because it can contain:
proprietary business knowledge
internal documents
regulated operational information
contextual data used to shape model outputs
Purview helps enforce governed access to that data layer rather than relying only on general infrastructure controls.
Why RBAC in Microsoft Foundry is correct
The second requirement is to ensure that only the AI engineering team can perform model fine-tuning.
That is an action-level platform permission requirement. The best control for that is role-based access control (RBAC) in Microsoft Foundry.
RBAC allows the organization to assign permissions based on job function, so only authorized users or groups can:
create or modify fine-tuning jobs
manage model assets
update training configurations
control deployment-related AI resources
This is the right governance pattern because fine-tuning changes model behavior and can introduce:
security risk
compliance risk
quality drift
misuse of proprietary datasets
Restricting that capability to the AI engineering team through RBAC creates a clear separation of duties.
Why the other options are incorrect
Azure AI Content Safety
This is used to detect and filter harmful content. It does not control access to Fabric grounding data.
Azure Monitor alerts
Alerts help observe activity, but they do not enforce role-based access to data.
Azure Policy compliance rules
Azure Policy is useful for enforcing resource configuration standards, but it is not the best answer for role- based access to Fabric grounding data or for limiting fine-tuning actions to a specific team.
Azure Resource Manager (ARM) resource locks
Resource locks help prevent deletion or modification of Azure resources, but they do not provide the right permission model for controlling who can perform model fine-tuning operations.
Microsoft Entra Conditional Access
Conditional Access is mainly about sign-in and access conditions, such as device, location, or risk context. It is not the best direct control for restricting fine-tuning permissions inside Foundry.
Expert reasoning
Use this exam shortcut:
Need to control access to enterprise data # think Purview access policies Need to restrict who can perform AI platform actions like fine-tuning # think RBAC in the AI platform So the correct mapping is:
Restricts access to the grounding data: Microsoft Purview access policies Restricts model fine-tuning: Role-based access control (RBAC) in Microsoft Foundry
A company has a portfolio of AI initiatives at different stages of development.
You need to recommend a structured approach to evaluating the return on AI investment (ROAI) across all the initiatives. The solution must balance immediate results with long-term values and strategic innovations.
What should you include in the recommendation?
- A. a horizon-based framework
- B. a prioritization grid
- C. a simple cost and benefit analysis
- D. the internal rate of return (IRR) function
Correct Answer: A 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
You need to design a Microsoft Copilot Studio agent for customer support.
The agent must securely retrieve product warranty data from a REST API. The solution must minimize development effort. What should you include in the design?
- A. Create a custom connector in Copilot Studio and use the connector to call the API.
- B. Export the agent as a managed solution and customize the agent in Power Apps.
- C. Add the warranty data to the Fallback topic.
- D. Use a Microsoft Power Automate desktop flow to screen scrape the warranty data.
Correct Answer: A 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
A company has an Al business solution that uses Microsoft Copilot Studio agents. You need to recommend prompt best practices to improve the effectiveness of agent interactions. Which two actions should you include in the recommendation? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
- A. Measure system resource usage during prompt processing.
- B. Use clear and specific instructions in the prompts.
- C. Track the duration of the average user session.
- D. Regularly test and refine the prompts based on user input.
- E. Analyze the prompt length distribution.
Correct Answer: B,D 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
You are designing a mufti-agent solution to orchestrate a set of specialized agents.
You plan to include in agent that connects to a third party data source The agent must be discoverable and usable by users in Microsoft 365 Copilot and Microsoft Teams.
You need to recommend a development strategy for the agent
Which two tools should you include in the recommendation? Each correct answer presents part of the solution.
NOTE: Each correct selection it worth one point.
- A. Foundry Agent Service
- B. Microsoft Copilot Studio
- C. the Assistants API m Azure OpenAI
- D. the Microsoft 365 Agents SDK
- E. the Foundry SDK
Correct Answer: A,D 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
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