Implement knowledge mining and information extraction solutions →easyMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
You are designing a knowledge mining solution for customer support emails. The solution must extract the customer's name, issue category, and sentiment from each email. Which two Azure AI services should you combine?
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 Language and Azure AI Search
Azure AI Language provides entity extraction and sentiment analysis. Azure AI Search indexes the extracted data for search. The other services are not directly needed for extraction and indexing.
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 Bot Service and Azure AI Language
Why it's wrong here
Bot Service is for conversational AI, not for mining and indexing.
- ✗
Azure AI Document Intelligence and Azure AI Search
Why it's wrong here
Document Intelligence is for form extraction, not general text extraction from emails.
- ✓
Azure AI Language and Azure AI Search
Why this is correct
Azure AI Language extracts entities and sentiment; Azure AI Search indexes them.
- ✗
Azure AI Translator and Azure AI Language
Why it's wrong here
Translator is not needed unless multilingual; also missing indexing.
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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.