Implement knowledge mining and information extraction solutions →mediumMultiple SelectObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
Which TWO services can be used to enrich an Azure AI Search index with knowledge mining skills? (Choose two.)
⚠ Common exam trap
A common misconception is that any Azure AI service can be used as a built-in skill, but only Computer Vision and Language Service have pre-built skills in Azure AI Search; others require custom skills or are separate services.
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 Computer Vision
Azure AI Search indexes can be enriched using built-in AI skills that call Azure AI services. Azure AI Computer Vision provides image analysis skills (e.g., OCR, description, tag extraction) that can be attached to an indexer pipeline. Azure AI Language Service provides text analytics skills (e.g., entity recognition, key phrase extraction, sentiment analysis) that enrich document fields during indexing.
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 Computer Vision
Why this is correct
Computer Vision provides image analysis skills.
- ✗
Azure AI Video Indexer
Why it's wrong here
Video Indexer is for video insights.
- ✓
Azure AI Language Service
Why this is correct
Language Service provides text analytics skills.
- ✗
Azure AI Speech Service
Why it's wrong here
Speech Service is for audio transcription.
- ✗
Azure AI Translator
Why it's wrong here
Translator is for translation, not enrichment skills.
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