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AI-102 Practice Question: Match each Azure Cognitive Services endpoint to…

Match each Azure Cognitive Services endpoint to its purpose.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Analyze sentiment of text

Generate description of an image

Query a knowledge base

Detect faces in an image

Translate text between languages

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

Computer Vision: Analyze images to extract visual features, descriptions, and objects.

The correct matches are: Computer Vision -> image analysis, Text Analytics -> sentiment analysis, Form Recognizer -> form data extraction, Face API -> face detection and attributes. Common confusions include mixing up Computer Vision with Translator, and Text Analytics with Content Moderator.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Computer Vision: Analyze images to extract visual features, descriptions, and objects.

    Why this is correct

    Computer Vision endpoint is used for image analysis tasks.

  • Text Analytics: Determine sentiment and extract key phrases from text.

    Why this is correct

    Text Analytics endpoint provides sentiment analysis and key phrase extraction.

  • Form Recognizer: Extract key-value pairs and tables from forms.

    Why this is correct

    Form Recognizer endpoint is designed to extract structured data from forms.

  • Face API: Detect human faces and return facial features like age and emotion.

    Why this is correct

    Face API endpoint detects faces and provides attributes such as age and emotion.

  • Computer Vision: Translate text between different languages.

    Why it's wrong here

    Incorrect — this describes the Translator endpoint, not Computer Vision.

  • Text Analytics: Moderate text content for offensive language.

    Why it's wrong here

    Incorrect — this describes the Content Moderator endpoint, not Text Analytics.

About these practice questions

One of 945 original AI-102 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →

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Same concept, more angles

1 more way this is tested on AI-102

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. Match each Azure AI feature to the service that provides it.

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  • A.Sentiment Analysis: Language Service
  • B.Speech-to-Text: Speech Service
  • C.Optical Character Recognition: Vision Service
  • D.Text Translation: Translator Service
  • E.Sentiment Analysis: Speech Service
  • F.Optical Character Recognition: Language Service

Why A: Azure Cognitive Services offer specialized AI capabilities: Language Service for text analysis (e.g., sentiment), Speech Service for audio processing, Vision Service for image analysis (e.g., OCR), and Translator for translation. Common confusions include swapping features between services.

JA

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.