Implement knowledge mining and information extraction solutions →easyMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
A healthcare organization needs to mine clinical notes to find mentions of diseases, medications, and treatment procedures. The data is stored in Azure SQL Database. Which Azure AI service should they integrate with Azure AI Search to extract these entities?
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
✓
Azure AI Health Insights
Azure AI Health Insights (formerly Text Analytics for Health) is a specialized service designed to extract healthcare-related entities such as diseases, medications, and treatment procedures from clinical text. Azure AI Language (option D) offers general entity extraction but lacks domain-specific models for healthcare. Azure AI Document Intelligence (option B) is optimized for extracting information from structured documents like forms and invoices, not clinical narratives. Azure AI Search (option C) is the indexing and querying service, not an extraction service. Therefore, Azure AI Health Insights is the appropriate choice to integrate with Azure AI Search for entity extraction from clinical notes.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Azure AI Health Insights
Why this is correct
Azure AI Health Insights extracts diseases, medications, and treatments from clinical text.
- ✗
Azure AI Document Intelligence
Why it's wrong here
Document Intelligence is for forms and documents, not clinical notes.
- ✗
Azure AI Search
Why it's wrong here
Search indexes data but does not perform entity extraction.
- ✗
Azure AI Language
Why it's wrong here
General entity extraction does not cover healthcare-specific entities.
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