Implement knowledge mining and information extraction solutions →mediumMultiple SelectObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
You are deploying a knowledge mining solution using Azure AI Search and Azure AI Document Intelligence. The solution must extract text from scanned documents, identify named entities, and index the content. You need to configure the skillset. Which TWO built-in skills should you include in 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
✓
OCR skill
The OCR skill extracts text from scanned images. The EntityRecognition skill identifies named entities. The Merge skill is not required because OCR output is already text. The KeyPhraseExtraction skill extracts key phrases, not entities. The LanguageDetection skill detects language, not 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.
- ✗
Merge skill
Why it's wrong here
Not needed; OCR output is text.
- ✗
LanguageDetection skill
Why it's wrong here
Detects language, not entities.
- ✓
OCR skill
Why this is correct
Extracts text from scanned documents.
- ✓
EntityRecognition skill
Why this is correct
Identifies named entities.
- ✗
KeyPhraseExtraction skill
Why it's wrong here
Extracts key phrases, not entities.
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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.