The correct configuration is to define DLP policies in the Microsoft 365 compliance center and apply them to Copilot Studio. This works because Copilot Studio natively integrates with Microsoft 365’s data loss prevention framework, allowing you to create policies that automatically detect and block sensitive data—such as credit card numbers or social security numbers—from being transmitted to the underlying Azure OpenAI model. On the AI-102 exam, this scenario tests your understanding of how governance layers, rather than model modifications, enforce compliance in generative AI solutions. A common trap is assuming you need to adjust the Azure OpenAI content filter or modify the model’s training data, but the correct approach is to use the centralized DLP controls in the compliance center. Remember: DLP policies are the gatekeeper, not the model itself. Memory tip: think “M365 DLP first, model second” to avoid overcomplicating the answer.
AI-102 Implement generative AI solutions Practice Question
This AI-102 practice question tests your understanding of implement generative ai solutions. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
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
Option B is correct because 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Related concept
Read the scenario before looking for a memorised answer.
✗
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.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates 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.
Detailed technical explanation
How to think about this question
Under the hood, Copilot Studio uses Microsoft 365 DLP policies via the Microsoft Purview compliance portal, which can inspect and block sensitive data types (e.g., credit card numbers, passport IDs) using built-in or custom sensitive information types. When a DLP policy is applied to Copilot Studio, it intercepts user prompts before they reach the Azure OpenAI model, allowing administrators to define actions like blocking, notifying, or auditing when sensitive data is detected. This is distinct from Azure AI Content Safety, which uses classifiers for harmful content categories (e.g., hate, self-harm) and operates at a different layer of the AI pipeline.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Implement generative AI solutions — This question tests Implement generative AI solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Define DLP policies in Microsoft 365 compliance center and apply to Copilot Studio — Option B is correct because 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.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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