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AI-102 Practice Question: Implement natural language processing solutions

Which ONE Azure AI service can be used to perform sentiment analysis on text?

⚠ Common exam trap

Candidates may mistakenly think Azure AI Translator includes sentiment analysis because it can detect the language of text, but it does not provide sentiment scores. This question tests the specific capabilities of each service.

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 built-in sentiment analysis capabilities as part of its natural language processing (NLP) features, allowing you to assess the sentiment (positive, negative, neutral, or mixed) of text at the document and sentence level. Azure AI Translator does not include sentiment analysis; it only provides text translation. Therefore, only Azure AI Language is correct.

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 Language

    Why this is correct

    Azure AI Language includes sentiment analysis as a key feature, making it a correct choice.

  • Azure AI Search

    Why it's wrong here

    Azure AI Search indexes and searches, but does not analyze sentiment.

  • Azure AI Bot Service

    Why it's wrong here

    Azure AI Bot Service is for building bots, not sentiment analysis.

  • Azure AI Translator

    Why it's wrong here

    Azure AI Translator does not support sentiment analysis; it is limited to translation services.

  • Azure AI Content Safety

    Why it's wrong here

    Azure AI Content Safety detects harmful content, not sentiment.

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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.