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Plan and manage an Azure AI solutioneasyMultiple ChoiceObjective-mapped

AI-102 Plan and manage an Azure AI solution Practice Question

You are designing a solution that uses Azure AI Language to analyze customer feedback. The solution must detect sentiment, extract key phrases, and identify named entities. Which feature should you use?

⚠ Common exam trap

Many exam-takers confuse Azure AI Language with other Azure AI services that have overlapping names (e.g., Translator API for language tasks) or assume Speech or Vision services can perform text analysis, but only the Language service provides the specific trio of sentiment, key phrases, and NER.

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 service

The Azure AI Language service provides pre-built capabilities for sentiment analysis, key phrase extraction, and named entity recognition (NER) as part of its text analytics features. These three tasks are directly supported by the service's Analyze API, making it the correct choice for analyzing customer feedback text.

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 service

    Why this is correct

    Azure AI Language provides sentiment, key phrases, and entity recognition.

  • Azure AI Speech service

    Why it's wrong here

    Speech service handles speech-to-text, not text analytics.

  • Azure AI Computer Vision

    Why it's wrong here

    Computer Vision analyzes images, not text.

  • Translator API

    Why it's wrong here

    Translator API provides translation, not analysis.

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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.