AI-300 Genaiops Infrastructure Practice Question
Your production agent application requires strict data isolation. You must ensure all requests to Azure OpenAI are routed through a private network. Which configuration is required?
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
✓
Enable 'Public Network Access' set to 'Disabled' on the Azure AI resource.
To ensure traffic stays within the private network, you must configure Azure AI Services with Private Link and ensure all traffic is routed through a private endpoint.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Enable 'Public Network Access' set to 'Disabled' on the Azure AI resource.
Why this is correct
Disabling public network access forces the use of private endpoints for connectivity.
- ✗
Deploy the model inside a dedicated 'Azure Kubernetes Service' node pool.
Why it's wrong here
The model service is managed by Microsoft; it must be accessed via private endpoint.
- ✗
Configure a 'Service Tag' for Azure OpenAI in the Firewall settings.
Why it's wrong here
Service tags are for allow-listing, not enforcing private connectivity.
- ✗
Add the 'Virtual Network' to the 'Allowed Subnets' in the AI Service.
Why it's wrong here
This restricts access but does not necessarily enforce private path routing.
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-300 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-300 exam.