AI-103 Plan And Manage AN Azure AI Solution Practice Question
You are deploying a custom text classification model using Azure AI Language. You need to implement cost management controls and track exact expenditures by tagging the Azure AI resource with the internal project cost center 'CC-409'. Where should you configure these tags in the Azure Portal?
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
✓
Under the Resource management > Tags section of the Azure AI Services resource blade
Tags applied at the Azure Resource Group or individual Azure AI resource level in the Azure Portal propagate to Azure Cost Management for granular tracking and reporting. Access control, network configuration, and diagnostic settings do not handle resource-level billing 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.
- ✗
Within the Networking blade under Private endpoint connections
Why it's wrong here
The Networking blade manages firewalls and virtual network integration.
- ✓
Under the Resource management > Tags section of the Azure AI Services resource blade
Why this is correct
Resource tags are managed directly in the Tags blade of the Azure resource.
- ✗
In the Access control (IAM) settings as a custom role assignment
Why it's wrong here
IAM handles permissions and security roles, not cost allocation tags.
- ✗
In the Diagnostic settings by creating a new metric alert rule
Why it's wrong here
Diagnostic settings capture logs and metrics, not billing metadata.
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.