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Implement generative AI solutionshardMultiple ChoiceObjective-mapped

AI-102 Implement generative AI solutions Practice Question

You are deploying a conversational AI solution using Microsoft Copilot Studio. The solution must comply with organizational data loss prevention (DLP) policies by preventing sensitive data from being sent to the underlying Azure OpenAI model. What should you configure?

⚠ Common exam trap

Candidates often confuse Azure AI Content Safety (which handles harmful content moderation) with DLP policies (which handle sensitive data protection), leading them to select Option C instead of the correct DLP-based approach.

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

Define DLP policies in Microsoft 365 compliance center and apply to Copilot Studio

Microsoft Copilot Studio integrates with Microsoft 365 DLP policies to prevent sensitive data from being sent to the underlying Azure OpenAI model. By defining DLP policies in the Microsoft 365 compliance center and applying them to Copilot Studio, you can enforce data loss prevention rules that block or restrict the transmission of sensitive information (e.g., credit card numbers, social security numbers) to the generative AI backend. This ensures compliance with organizational security requirements without modifying the AI model itself.

Answer analysis

Option-by-option breakdown

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

  • Configure content filters in Azure OpenAI Studio

    Why it's wrong here

    Content filters target harmful content, not DLP.

  • Define DLP policies in Microsoft 365 compliance center and apply to Copilot Studio

    Why this is correct

    DLP policies in M365 can block sensitive data from being sent to AI models.

  • Enable Azure AI Content Safety in the bot's generative AI configuration

    Why it's wrong here

    AI Content Safety focuses on safety, not DLP.

  • Set the temperature parameter to 0 to reduce variability

    Why it's wrong here

    Temperature affects creativity, not data protection.

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Last reviewed: Jun 24, 2026

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