AI-102 Practice Question: Implement knowledge mining and information extraction solutions
You are using Azure AI Search to index customer support tickets. You want to automatically extract the customer's sentiment and key phrases from each ticket. Which Azure AI service should you integrate as a skillset?
⚠ Common exam trap
The AI-102 exam often tests the distinction between Azure AI Language (for text analytics) and Azure AI Document Intelligence (for document structure extraction), leading candidates to mistakenly choose Document Intelligence when the task involves analyzing text content rather than extracting form fields.
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
Azure AI Language provides pre-built capabilities for sentiment analysis and key phrase extraction, which are exactly the skills needed to process customer support ticket text. When integrated as a skillset in Azure AI Search, it enriches the indexing pipeline by automatically extracting these insights from each document. The other services focus on different modalities (vision, translation, document structure) and do not offer native sentiment or key phrase extraction.
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 text, tables and layout from documents; it returns no sentiment scores or key-phrase lists. It is tempting because it processes ticket attachments such as scanned forms, making it the right skill when the requirement is OCR and structured field extraction rather than language analysis.
- ✗
Azure AI Computer Vision
Why it's wrong here
Computer Vision analyses images for objects, OCR and captions; it produces no sentiment or key-phrase output from ticket text. It is tempting because tickets may include screenshots, making it the right skill when the pipeline must extract text or describe visual content rather than assess written language.
- ✗
Azure AI Translator
Why it's wrong here
Translator converts text between languages and returns no sentiment scores or key phrases. It is tempting because support tickets often arrive in multiple languages, making it the right skill when the pipeline must normalise foreign-language text before indexing rather than analyse the customer's tone.
- ✓
Azure AI Language
Why this is correct
Azure AI Language provides the sentiment analysis and key phrase extraction capabilities the skillset requires, satisfying the stem's demand for both enrichments from one service. Its built-in Text Analytics skills integrate directly into Azure AI Search indexers, so each ticket is scored and mined for phrases during indexing without custom model code.
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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.