Implement knowledge mining and information extraction solutions →easyMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
You need to enrich documents with key phrases and sentiment before indexing into Azure AI Search. Which type of skill should you use?
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
✓
Cognitive Services skill
Key phrase extraction and sentiment analysis are cognitive skills available in the Azure AI Language service. The Cognitive Services skill references a Cognitive Services resource that provides these capabilities.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Entity Recognition skill
Why it's wrong here
Entity Recognition identifies entities, not key phrases or sentiment.
- ✗
Document Extraction skill
Why it's wrong here
Document Extraction only extracts text, not enriches with key phrases or sentiment.
- ✗
Custom Web API skill
Why it's wrong here
You could build a custom skill, but there are built-in skills for key phrases and sentiment.
- ✓
Cognitive Services skill
Why this is correct
This skill allows you to call Azure AI Language APIs for key phrases and sentiment.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.