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AI-102 Implement generative AI solutions Practice Question

You are developing a custom chatbot using Azure AI Bot Service and Language Understanding (CLU). The chatbot needs to escalate to a human agent when the user's sentiment is negative. Which component should you use to detect sentiment?

⚠ Common exam trap

Watch out — candidates often confuse Azure Cognitive Search (a search service) with AI Language services, or assume that QnA Maker includes sentiment analysis, when in fact only Azure AI Language provides dedicated sentiment detection.

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 sentiment analysis

Azure AI Language sentiment analysis is the correct component because it provides pre-built sentiment detection capabilities that analyze text and return sentiment labels (positive, negative, neutral) and confidence scores. This directly meets the requirement to detect negative user sentiment in chatbot conversations, enabling escalation to a human agent when needed.

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 sentiment analysis

    Why this is correct

    Sentiment analysis detects positive/negative sentiment.

  • Azure Cognitive Search

    Why it's wrong here

    Cognitive Search is for information retrieval.

  • Orchestration workflow

    Why it's wrong here

    Orchestration workflow routes between different skills.

  • QnA Maker

    Why it's wrong here

    QnA Maker provides question-answering, 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.