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Plan and manage an Azure AI solutionhardMultiple ChoiceObjective-mapped

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

You are developing a bot using Microsoft Bot Framework and Azure AI Language. The bot must handle user intents that change mid-conversation. Which feature should you implement?

⚠ Common exam trap

Watch out — candidates often confuse waterfall dialogs (which are sequential and rigid) with adaptive dialogs (which are event-driven and flexible), assuming any dialog can handle mid-conversation changes, but only adaptive dialogs support dynamic interruption and re-routing.

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

Adaptive dialogs

Adaptive dialogs are designed for dynamic, event-driven conversations where user intents can change mid-conversation. They use a trigger-based model (e.g., onIntent, onTurn) that allows the bot to react to new intents at any point, unlike linear dialog models. This makes them ideal for handling mid-conversation intent shifts without requiring predefined dialog flows.

Answer analysis

Option-by-option breakdown

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

  • Prompt dialogs

    Why it's wrong here

    Prompts are for collecting input, not managing changing intents.

  • Waterfall dialogs

    Why it's wrong here

    Waterfall dialogs are step-by-step and cannot change flow mid-conversation.

  • Adaptive dialogs

    Why this is correct

    Adaptive dialogs support dynamic conversation flow and can handle interruptions and changing intents.

  • QnA Maker knowledge base

    Why it's wrong here

    QnA Maker is for FAQ, not dynamic intent handling.

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Last reviewed: Jun 24, 2026

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