Implement knowledge mining and information extraction solutions →hardMultiple SelectObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
You are designing a knowledge mining solution for a large enterprise that uses Azure AI Search to index millions of documents. The solution must support high-availability and automatic failover. Which TWO actions should you take to meet these requirements?
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
✓
Provision the Azure AI Search service in at least two regions.
To achieve high availability and automatic failover in Azure AI Search, you need to provision the service in at least two regions (Option C) to provide geo-redundancy, and configure at least two replicas within a region (Option D) for high availability and load balancing. Option A is incorrect because index data is stored within the search service, not in Azure Storage, so GRS is not applicable. Option B (semantic search) enhances query capabilities but does not affect availability. Option E (text split skill) is for processing large documents, not for availability.
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 geo-redundant storage (GRS) for the index data.
Why it's wrong here
Azure AI Search does not store index data in Azure Storage; GRS is not a valid action for high availability of the search service.
- ✗
Enable semantic search on the index.
Why it's wrong here
Semantic search improves query relevance, not availability.
- ✓
Provision the Azure AI Search service in at least two regions.
Why this is correct
Provisioning in at least two regions provides geo-redundancy and automatic failover across regions.
- ✓
Configure the search service with at least two replicas.
Why this is correct
At least two replicas within a region ensure high availability and load balancing.
- ✗
Enable indexing of large documents using the text split skill.
Why it's wrong here
The text split skill is used for chunking large documents during indexing, not for availability.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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