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 designing a generative AI solution using Azure OpenAI Service. The solution must meet compliance requirements by preventing the model from generating sensitive personal data. Which TWO configurations should you implement? (Select TWO.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Implement data loss prevention (DLP) policies using Microsoft Purview
Microsoft Purview DLP policies can scan and block sensitive data (e.g., PII, credit card numbers) in prompts and responses when integrated with Azure OpenAI Service, ensuring compliance by preventing data exfiltration. Azure AI Content Safety content filters allow you to configure severity thresholds to block harmful or sensitive content categories, directly preventing the model from generating personal data at the inference layer.
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.
✓
Implement data loss prevention (DLP) policies using Microsoft Purview
Why this is correct
DLP policies provide data governance and protection.
Related concept
Read the scenario before looking for a memorised answer.
✓
Configure content filters in Azure AI Content Safety
Why this is correct
Content filters can block sensitive data patterns.
Related concept
Read the scenario before looking for a memorised answer.
✗
Add a system message instructing the model not to generate personal data
Why it's wrong here
System messages are not enforced and can be bypassed.
✗
Deploy the model in a specific region
Why it's wrong here
Region deployment does not prevent generation of personal data.
✗
Fine-tune the model with a dataset that excludes personal data
Why it's wrong here
Fine-tuning does not guarantee the model won't generate personal data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose a system message (Option C) as a reliable control, but Microsoft explicitly warns that system messages are not a security boundary and can be bypassed, whereas DLP and content filters provide enforceable guardrails.
Detailed technical explanation
How to think about this question
Microsoft Purview DLP integrates via Azure OpenAI’s data loss prevention endpoint, using built-in sensitive info types (e.g., EU GDPR, U.S. PII) to evaluate content in real time. Azure AI Content Safety applies multi-level filtering (e.g., hate, self-harm, sexual, violence) with adjustable severity levels (0-4), and can be extended with custom blocklists for specific terms or patterns. A subtle behavior: content filters operate on both prompt and completion, but DLP policies can also log or block based on downstream classification, providing defense in depth.
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: Implement data loss prevention (DLP) policies using Microsoft Purview — Microsoft Purview DLP policies can scan and block sensitive data (e.g., PII, credit card numbers) in prompts and responses when integrated with Azure OpenAI Service, ensuring compliance by preventing data exfiltration. Azure AI Content Safety content filters allow you to configure severity thresholds to block harmful or sensitive content categories, directly preventing the model from generating personal data at the inference layer.
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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Question Discussion
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