AI-102 Practice Question: Implement natural language processing solutions
Which THREE factors should you consider when selecting a region for an Azure AI Language resource?
⚠ Common exam trap
It's easy for candidates to confuse operational factors like pricing or SKU availability with the fundamental regional constraints that affect data sovereignty and service capabilities, leading them to select options that are technically true but not the primary factors for region selection in Azure AI Language.
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
✓
Data residency requirements.
Data residency requirements (Option C) are critical when selecting an Azure region for an AI Language resource because Azure AI Language processes and stores customer data within the region where the resource is provisioned. Many organizations have compliance obligations (e.g., GDPR, HIPAA, or local data sovereignty laws) that mandate data remain within specific geographic boundaries, so choosing a region that aligns with these requirements is essential.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Pricing differences.
Why it's wrong here
Pricing is generally consistent.
- ✗
Availability of the Free tier SKU.
Why it's wrong here
Free tier is available in many regions.
- ✓
Data residency requirements.
Why this is correct
Important for compliance.
- ✓
Language and feature availability.
Why this is correct
Some features are region-specific.
- ✓
Latency to the application's users.
Why this is correct
Lower latency improves performance.
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