AI-103 Plan And Manage AN Azure AI Solution Practice Question
You are managing an Azure OpenAI model deployment in an active-passive multi-region disaster recovery architecture. A regional outage occurs, and you failover traffic to the secondary region. However, clients report receiving authentication errors. What is the most likely cause?
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
✓
The client application's managed identity has not been granted the required RBAC roles on the secondary Azure OpenAI resource.
Managed identities are region-specific or require proper role assignments on the secondary resource instance.
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 automatically deletes API keys during a regional failover.
Why it's wrong here
API keys remain intact unless manually regenerated or deleted.
- ✓
The client application's managed identity has not been granted the required RBAC roles on the secondary Azure OpenAI resource.
Why this is correct
RBAC role assignments do not replicate automatically across resources; the managed identity must be assigned permissions on the secondary resource.
- ✗
Azure OpenAI models require re-training after any regional failover event.
Why it's wrong here
Pre-deployed models do not require retraining upon failover.
- ✗
The primary region's DNS zone must be manually deleted for failover to work.
Why it's wrong here
DNS failover routing updates traffic flow, but does not dictate service authentication.
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.