Quick Answer
The answer is Azure AI Language, which is the correct choice because it provides both sentiment analysis and key phrase extraction as built-in skills within an Azure AI Search enrichment pipeline. When you integrate sentiment and key phrase extraction skillset into your indexing process, Azure AI Language analyzes each ticket’s text to determine a sentiment score (positive, neutral, or negative) and identifies the most relevant key phrases, all without requiring custom machine learning models. On the AI-102 exam, this question tests your ability to match specific cognitive skills to the correct Azure service, and a common trap is confusing Azure AI Language with Document Intelligence, which handles form and document parsing, not text analytics. Remember that any task involving opinion mining, sentiment scoring, or extracting important terms from text belongs to the Language service. A helpful memory tip is to think “Language for feelings and phrases”—if you need to understand how a customer feels or what they’re talking about, Azure AI Language is your go-to skillset.
This AI-102 practice question tests your understanding of implement knowledge mining and information extraction solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
Azure AI Document Intelligence
Why wrong: Used for form extraction, not text analytics.
Azure AI Computer Vision
Why wrong: For image analysis, not text.
Azure AI Translator
Why wrong: For translation, not sentiment.
Azure AI Language
Offers sentiment and key phrase extraction skills.
Answer choices
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
Option A is correct because Azure AI Language provides sentiment analysis and key phrase extraction as built-in skills. Option B is wrong because Document Intelligence is for document extraction. Option C is wrong because Translator is for translation. Option D is wrong because Computer Vision is for images.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
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
Used for form extraction, not text analytics.
Azure AI Computer Vision
Why it's wrong here
For image analysis, not text.
Azure AI Translator
Why it's wrong here
For translation, not sentiment.
Azure AI Language
Why this is correct
Offers sentiment and key phrase extraction skills.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Implement knowledge mining and information extraction solutions — This question tests Implement knowledge mining and information extraction solutions — Read the scenario before looking for a memorised answer..
The correct answer is: Azure AI Language — Option A is correct because Azure AI Language provides sentiment analysis and key phrase extraction as built-in skills. Option B is wrong because Document Intelligence is for document extraction. Option C is wrong because Translator is for translation. Option D is wrong because Computer Vision is for images.
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 20, 2026
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.
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