AI-102 Practice Question: Implement knowledge mining and information extraction solutions
You are creating an Azure AI Search solution that must extract named entities such as people, organizations, and locations from text documents. You want to use a built-in cognitive skill to perform this extraction during indexing. Which skill should you add to the skillset?
⚠ Common exam trap
Watch out — candidates often confuse entity extraction with key phrase extraction, which also analyzes text but does not categorize entities into types like people or organizations.
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
✓
EntityRecognitionSkill
EntityRecognitionSkill is the built-in Azure AI Search skill that extracts named entities and classifies them into categories such as persons, organizations, and locations. It is part of the cognitive skills library and is designed to enrich documents during indexing. The other skills perform different natural language processing tasks such as key phrase extraction, language detection, or translation, none of which provide categorized entity extraction.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
KeyPhraseExtractionSkill
Why it's wrong here
KeyPhraseExtractionSkill identifies main points in text but does not categorize entities into types like people, organizations, or locations. It returns a list of key phrases, which is useful for summarization but not for structured entity extraction. Using it here would not provide the categorized entities the solution requires.
- ✗
LanguageDetectionSkill
Why it's wrong here
LanguageDetectionSkill determines the language of the text, which is helpful for routing to language-specific analyzers but does not extract entities. It outputs a language code, not named entities. Adding it would not fulfill the requirement to extract people, organizations, and locations from the documents.
- ✓
EntityRecognitionSkill
Why this is correct
EntityRecognitionSkill is a built-in cognitive skill in Azure AI Search that extracts entities such as persons, organizations, and locations from text. It is specifically designed for this purpose and integrates directly into the enrichment pipeline. Adding it to the skillset will produce enriched output that can be mapped to index fields, meeting the requirement without custom code.
- ✗
TextTranslationSkill
Why it's wrong here
TextTranslationSkill translates text from one language to another, which is unrelated to entity extraction. It would change the content language but not identify entities within it. This skill is appropriate for multilingual scenarios where translation is needed before indexing, not for extracting named entities as required.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Microsoft exam blueprint
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