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Implement natural language processing solutionsmediumMultiple SelectObjective-mapped

AI-102 Practice Question: Implement natural language processing solutions

A company is building a bot using Microsoft Copilot Studio (formerly Power Virtual Agents). They want to use Azure AI Language to understand user intents. Which TWO components are required?

⚠ Common exam trap

It's easy for candidates to confuse QnA Maker (or its successor, custom question answering) with CLU, thinking both serve the same purpose, but QnA Maker is for extracting answers from a knowledge base, not for intent classification, which is the core requirement for understanding user intents.

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

A Conversational Language Understanding (CLU) app

Conversational Language Understanding (CLU) is the Azure AI Language service that enables intent recognition and entity extraction from user utterances. When building a bot with Microsoft Copilot Studio, you can integrate a CLU app to handle complex natural language understanding, allowing the bot to route user intents to appropriate topics or actions.

Answer analysis

Option-by-option breakdown

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

  • A QnA Maker knowledge base

    Why it's wrong here

    QnA Maker is deprecated.

  • A Conversational Language Understanding (CLU) app

    Why this is correct

    CLU app is needed for intent recognition.

  • A Microsoft Copilot Studio bot

    Why this is correct

    Microsoft Copilot Studio bot is the interface.

  • An Azure AI Translator resource

    Why it's wrong here

    Translator is for translation, not intent recognition.

  • An Azure AI Bot Service bot

    Why it's wrong here

    Azure AI Bot Service is not required if using Copilot Studio.

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