AI-102 Plan and manage an Azure AI solution Practice Question
Your team is building an AI-powered search application using Azure AI Search with semantic ranking. During testing, the search results are not showing the expected relevance improvements. What should you check first?
⚠ Common exam trap
Watch out — candidates often assume semantic ranking is automatically available on any paid tier or that configuration issues like CORS or RBAC are the root cause, when in fact the service tier and explicit enablement are the strict prerequisites.
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
✓
Confirm that the search service is at least Standard S1 and semantic ranking is enabled
Semantic ranking in Azure AI Search requires a service tier of at least Standard S1 (or higher) and the feature must be explicitly enabled on the index. Without meeting these prerequisites, the search results will not benefit from semantic reranking, regardless of other configurations. Therefore, confirming the service tier and semantic ranking enablement is the first and most critical check.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Verify that CORS is enabled for your application
Why it's wrong here
CORS is for cross-origin requests, not ranking.
- ✗
Check that your index has an RBAC role assignment for semantic search
Why it's wrong here
RBAC does not control semantic ranking functionality.
- ✓
Confirm that the search service is at least Standard S1 and semantic ranking is enabled
Why this is correct
Semantic ranking requires Standard S1 or higher and must be enabled in the service configuration.
- ✗
Ensure the search service is on the Free tier
Why it's wrong here
Free tier does not support semantic ranking.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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