Quick Answer
The answer is Azure AI Language Service. This service is the correct choice because it offers built-in sentiment analysis that automatically returns a confidence score for each sentiment label—positive, negative, or neutral—across text inputs, making it ideal for processing up to 10,000 social media posts per day without additional configuration. On the Microsoft Azure AI Engineer Associate AI-102 exam, this question tests your ability to distinguish between Azure AI services by their core functions; a common trap is confusing the Language Understanding service (LUIS) with sentiment analysis, but LUIS is designed for intent and entity extraction, not sentiment scoring. Remember that if the task involves analyzing text for emotional tone with numerical confidence, you always reach for the Language Service, not Translator, Speech, or LUIS. A helpful memory tip: “Sentiment needs a Language Service—LUIS looks for intent, not sentiment.”
This AI-102 practice question tests your understanding of implement natural language processing 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.
Your organization needs to analyze customer feedback from social media posts to determine the sentiment (positive, negative, neutral). The solution must process up to 10,000 posts per day and provide a confidence score for each sentiment. Which Azure AI service should you use?
Azure AI Speech Service
Why wrong: Processes speech, not text sentiment.
Azure AI Language Service
Offers sentiment analysis with confidence scores.
Azure AI Translator
Why wrong: Translates text, does not analyze sentiment.
Azure AI Language Understanding (LUIS)
Why wrong: Designed for intent recognition, not sentiment analysis.
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 Service
Option A is correct because Azure AI Language provides sentiment analysis with confidence scores as a built-in feature. Option B is wrong because the Translator service translates text, it does not analyze sentiment. Option C is wrong because the Speech service processes audio, not text. Option D is wrong because the Language Understanding service (LUIS) is for intent and entity extraction, not sentiment analysis.
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 Speech Service
Why it's wrong here
Processes speech, not text sentiment.
Azure AI Language Service
Why this is correct
Offers sentiment analysis with confidence scores.
Related concept
Read the scenario before looking for a memorised answer.
Azure AI Translator
Why it's wrong here
Translates text, does not analyze sentiment.
Azure AI Language Understanding (LUIS)
Why it's wrong here
Designed for intent recognition, not sentiment analysis.
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
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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 natural language processing solutions — This question tests Implement natural language processing solutions — Read the scenario before looking for a memorised answer..
The correct answer is: Azure AI Language Service — Option A is correct because Azure AI Language provides sentiment analysis with confidence scores as a built-in feature. Option B is wrong because the Translator service translates text, it does not analyze sentiment. Option C is wrong because the Speech service processes audio, not text. Option D is wrong because the Language Understanding service (LUIS) is for intent and entity extraction, not sentiment analysis.
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
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. You need to analyze customer call transcripts to identify positive and negative sentiment. Which Azure AI Language feature should you use?
easyWhy D: Option A is correct because Sentiment Analysis is designed for that purpose. Option B is incorrect because Key Phrase Extraction extracts key phrases. Option C is incorrect because Entity Recognition identifies entities. Option D is incorrect because Language Detection identifies language.
Variation 2. You need to analyze customer feedback to determine whether the sentiment is positive, negative, or neutral. Which Azure AI service should you use?
easyWhy C: Azure AI Language provides Sentiment Analysis as a built-in feature. Language Detection, Key Phrase Extraction, and NER are different capabilities.
Variation 3. You need to analyze the sentiment of social media posts in real time using Azure AI Language. Which approach should you use?
easyWhy A: Azure AI Language supports real-time sentiment analysis via its REST API. Batch processing is for offline analysis; event hubs and stream analytics are overkill for simple API calls.
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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