AI-102 Practice Question: Implement natural language processing solutions
Your team uses Azure AI Language in a multi-region architecture. You need to ensure that the solution is resilient to regional outages. Which THREE actions should you take?
⚠ Common exam trap
It's easy for candidates to confuse high availability within a single region (e.g., availability zones) with multi-region resilience, and may incorrectly think disabling regional endpoints is necessary to force global routing, when in fact global endpoints already handle failover automatically.
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
✓
Use a global endpoint that routes to the nearest region
Azure AI Language global endpoints automatically route requests to the nearest available region, providing built-in failover without manual intervention. This ensures that if one region experiences an outage, traffic is redirected to the next closest healthy region, maintaining service continuity.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Disable regional endpoints
Why it's wrong here
Disabling endpoints prevents access.
- ✓
Use a global endpoint that routes to the nearest region
Why this is correct
Global endpoint provides automatic failover.
- ✓
Configure a load balancer to distribute requests across regions
Why this is correct
Load balancer routes traffic away from failed regions.
- ✓
Deploy Azure AI Language resources in multiple regions
Why this is correct
Multiple regions provide failover.
- ✗
Use a single region with high availability enabled
Why it's wrong here
Single region is not resilient to regional outage.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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