AI-103 Computer Vision Practice Question
You are managing a multi-tenant SaaS application that uses Azure AI Vision. Each tenant has their own isolated data, and you want to track costs per tenant. How should you provision Azure AI services to achieve granular cost attribution?
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
✓
Deploy a dedicated Azure AI Services resource per tenant and use Azure Cost Management for billing attribution.
Provisioning separate Azure AI Services resources per tenant (or using resource tags with Azure Cost Management) allows granular cost tracking, though separate resources provide strict billing isolation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use a single global Azure AI Services resource and parse tenant IDs from request user-agent headers for billing.
Why it's wrong here
Azure billing cannot split costs within a single shared resource based on custom headers.
- ✗
Store tenant IDs in Custom Vision project tags.
Why it's wrong here
Custom Vision project tags do not affect Azure resource billing attribution.
- ✓
Deploy a dedicated Azure AI Services resource per tenant and use Azure Cost Management for billing attribution.
Why this is correct
Dedicated resources per tenant provide exact, isolated cost tracking via Azure Cost Management.
- ✗
Use Azure Blob Storage cost allocation tags to cover AI API costs.
Why it's wrong here
Storage tags do not track Cognitive Services API transaction costs.
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.