Question 307 of 945
Implement knowledge mining and information extraction solutions →easyMultiple SelectObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
Which TWO built-in cognitive skills in Azure AI Search can be used to extract entities from text?
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
✓
PII Detection
The two built-in cognitive skills in Azure AI Search that extract entities from text are Entity Recognition and PII Detection. Entity Recognition extracts named entities such as people, organizations, and locations. PII Detection extracts personally identifiable information like phone numbers, email addresses, and social security numbers. Custom Entity Lookup is a custom skill, not built-in. Sentiment Analysis determines sentiment, and Language Detection identifies language; neither extracts entities.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Custom Entity Lookup
Why it's wrong here
Matches against a custom list, but not a built-in entity extraction skill.
- ✓
PII Detection
Why this is correct
Extracts PII entities.
- ✗
Sentiment Analysis
Why it's wrong here
Determines sentiment, not entities.
- ✗
Language Detection
Why it's wrong here
Detects language, not entities.
- ✓
Entity Recognition
Why this is correct
Extracts named entities.
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Last reviewed: Jun 20, 2026
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