AI-103 Plan And Manage AN Azure AI Solution Practice Question
You are deploying an Azure AI multi-service account in the West US region. The finance department requires that all resource deployment costs be tracked by department code using Azure Resource Manager tags. Which Azure feature should you use to enforce the mandatory application of the department tag across all future Azure AI resource deployments?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure Policy
Azure Policy enables the enforcement of resource properties and tags at scale during deployment by evaluating resource definitions against rule conditions such as 'Tags'.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure Cost Management budgets
Why it's wrong here
Cost Management budgets monitor spending limits and send alerts, but they do not enforce the application of tags during resource creation.
- ✗
Azure role-based access control (RBAC)
Why it's wrong here
Azure RBAC manages user identities and permissions, not structural resource metadata or tagging compliance.
- ✗
Azure Blueprints
Why it's wrong here
While Blueprints can orchestrate role assignments, policies, and templates, Azure Policy is the direct governance tool specifically designed for tag enforcement.
- ✓
Azure Policy
Why this is correct
Azure Policy is the correct service to audit and enforce resource properties like mandatory tags across Azure AI resource groups and subscriptions.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-103 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-103 exam.