Implement knowledge mining and information extraction solutions →easyMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
A company uses Azure AI Search to index customer support tickets. They need to automatically extract key phrases from each ticket to improve search relevance. Which built-in skill should they add to the skillset?
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
✓
Key Phrase Extraction
The Key Phrase Extraction skill extracts key phrases from text, making it the correct choice for automatically extracting key phrases from customer support tickets. Entity Recognition identifies named entities like people, places, and organizations, not key phrases. Sentiment Analysis determines the sentiment (positive, negative, neutral) of text. OCR extracts text from images, not from text-based tickets.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Key Phrase Extraction
Why this is correct
Key Phrase Extraction skill extracts key phrases from text.
- ✗
Entity Recognition
Why it's wrong here
Entity Recognition extracts named entities like people and places, not key phrases.
- ✗
Sentiment Analysis
Why it's wrong here
Sentiment Analysis determines sentiment, not key phrases.
- ✗
OCR
Why it's wrong here
OCR extracts text from images, not key phrases.
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JA
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.