Implement knowledge mining and information extraction solutions →easyMultiple SelectObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
A company is building a knowledge mining solution using Azure AI Search. They need to extract entities from a large set of PDF documents stored in Azure Blob Storage. The solution must use a built-in AI skill to identify people, organizations, and locations. Which TWO actions should be taken? (Choose two.)
⚠ Common exam trap
Candidates may mistakenly believe that a custom analyzer (Option A) or custom skill (Option C) is needed, but built-in skills suffice. Also, they may overlook that OCR (Option D) must be enabled to process scanned PDFs before entity recognition.
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
✓
Enable OCR (Optical Character Recognition) in the indexer configuration.
OCR (Optical Character Recognition) is required to extract text from scanned PDFs before entity recognition can be applied. Option E is correct because the built-in Entity Recognition skill identifies people, organizations, and locations. Option A is incorrect because custom analyzers affect indexing and querying, not entity extraction. Option B is incorrect because the Key Phrase Extraction skill extracts key phrases, not named entities. Option C is incorrect because a custom skill is unnecessary when a built-in skill already meets the requirement.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Configure the index to use a custom analyzer.
Why it's wrong here
Custom analyzers are for text analysis, not entity extraction.
- ✗
Add the Key Phrase Extraction skill to the skillset.
Why it's wrong here
Key Phrase Extraction extracts key phrases, not specific entity types.
- ✗
Deploy a custom skill using Azure Functions to extract entities.
Why it's wrong here
Built-in skills are available; a custom skill is not required.
- ✓
Enable OCR (Optical Character Recognition) in the indexer configuration.
Why this is correct
OCR extracts text from PDFs so that the Entity Recognition skill can process it.
- ✓
Add the Entity Recognition skill to the skillset.
Why this is correct
The Entity Recognition skill extracts entities like people, organizations, and locations.
Quick reference
Azure Blob Storage Tier Comparison
| Tier | Storage Cost | Retrieval Cost | Latency | Use Case |
|---|---|---|---|---|
| Hot | Highest | Lowest | Immediate | Active data, frequent reads |
| Cool | Lower | Higher | Immediate | Data accessed < once / month |
| Cold | Lower still | Higher | Immediate | Data accessed < once / quarter |
| Archive | Lowest | Highest + rehydration delay | Hours | Long-term compliance retention |
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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.