Implement knowledge mining and information extraction solutions →mediumMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
Your organization has a large corpus of legal documents stored in Azure Blob Storage. You need to build a solution that allows lawyers to ask natural language questions and get answers directly from the documents, without moving data out of Azure. Which service should you use?
⚠ Common exam trap
Watch out — candidates often confuse Azure AI Document Intelligence (which extracts structured data from forms) with a search-based Q&A solution, failing to recognize that Azure AI Search with semantic search is the correct service for querying unstructured text corpora with natural language.
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 Search with semantic search
Azure AI Search with semantic search is the correct choice because it allows you to index legal documents stored in Azure Blob Storage, then query them using natural language questions. The semantic search capability re-ranks results based on contextual understanding, enabling the system to extract precise answers from the document corpus without moving data out of Azure.
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 Document Intelligence
Why it's wrong here
Document Intelligence extracts data from documents but does not support natural language Q&A.
- ✓
Azure AI Search with semantic search
Why this is correct
Semantic search in Azure AI Search can understand natural language queries and return relevant passages.
- ✗
Azure AI Language Service with custom question answering
Why it's wrong here
Custom question answering requires a knowledge base of Q&A pairs, not raw documents.
- ✗
Azure AI Computer Vision
Why it's wrong here
Computer Vision is for image analysis, not text Q&A.
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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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.