Q
A company is delivering a multi-agent AI solution by using Microsoft Foundry across Microsoft 365 Copilot and Microsoft Copilot Studio.
Business units independently create Foundry projects and deploy AI models without consistent governance. The company's security team requires centralized governance to enforce organization-wide deployment policies and provide centralized auditing across all Foundry hubs and projects.
You need to implement a governance control that meets the requirements.
What should you implement?
Question Info
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Explanation
Objective:
1.2 Design overall AI strategy for business solutions
What This Item Tests:
Include the elements of the Microsoft AI Center of Excellence
Additional Reading:
Control AI model deployment with built-in policies in Microsoft Foundry portal (classic)
Audit and manage Microsoft Foundry hubs and projects (classic)
Govern AI
AI architecture design
Choose an AI services technology
Rationale:
Azure Policy enables centralized, enforceable governance by controlling allowed configurations and deployments across Foundry hubs and projects, while also supporting auditing and compliance at scale; Moving to OneLake does not provide governance over AI model deployments; Cost Management budgets limit spending but do not prevent or govern model deployments; Requiring the use of Azure Machine Learning does not enforce consistent governance across Foundry projects or provide centralized policy enforcement.
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