AI-102 Plan and manage an Azure AI solution Practice Question
Which TWO actions should you take to ensure compliance with data residency requirements when using Azure AI services across multiple regions?
⚠ Common exam trap
It's easy for candidates to confuse global load balancing (Azure Front Door) with data residency controls, assuming traffic routing ensures data stays in a region, but Azure Front Door does not enforce data processing boundaries.
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
✓
Configure the AI service's data residency settings to restrict data to the region
Azure AI services provide data residency settings that allow you to restrict data processing to a specific region, ensuring compliance with data residency requirements. Option E is correct because deploying separate instances of the AI service in each required region gives you full control over where data is stored and processed, which is a common pattern for meeting strict data residency mandates.
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 global Azure AI service resource and configure geo-replication
Why it's wrong here
Geo-replication may move data across regions.
- ✓
Configure the AI service's data residency settings to restrict data to the region
Why this is correct
Some services offer data residency settings to limit data movement.
- ✗
Enable Azure Front Door to route traffic to the nearest region
Why it's wrong here
Front Door does not enforce data residency.
- ✗
Disable data replication for the AI service
Why it's wrong here
Disabling replication does not ensure data stays in one region.
- ✓
Deploy separate instances of the AI service in each required region
Why this is correct
Separate instances ensure data is processed and stored locally.
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