- A
Azure AI Content Safety with a custom blocklist
Content Safety can detect and block sensitive content including PII in real-time.
- B
Microsoft Purview Information Protection
Why wrong: Purview is for classification and labeling, not real-time content filtering.
- C
Microsoft Defender for Cloud Apps
Why wrong: Defender for Cloud Apps is for cloud app security, not content filtering.
- D
Azure AI Language PII detection
Why wrong: PII detection identifies PII but doesn't block output automatically.
Question 904 of 993
How to Use Azure AI Content Safety to Block PII in Azure OpenAI
This AI-102 practice question tests your understanding of implement generative ai solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
Your company is using Azure OpenAI Service to generate marketing copy. The compliance team requires that all generated content be reviewed for sensitive data before delivery. You need to implement a solution that automatically scans the output for personally identifiable information (PII) and blocks it if detected. Which service should you integrate?
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
✓
Azure AI Content Safety with a custom blocklist
Azure AI Content Safety with a custom blocklist is the correct choice because it is specifically designed to filter and block harmful or sensitive content, including PII, in real-time. By adding a custom blocklist of PII patterns (e.g., regex for social security numbers), you can automatically block any output from Azure OpenAI that matches those patterns before delivery. This service integrates directly with Azure OpenAI Service via the content filtering system, making it the most appropriate for this use case.
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.
- ✓
Azure AI Content Safety with a custom blocklist
Why this is correct
Content Safety can detect and block sensitive content including PII in real-time.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Microsoft Purview Information Protection
Why it's wrong here
Purview is for classification and labeling, not real-time content filtering.
- ✗
Microsoft Defender for Cloud Apps
Why it's wrong here
Defender for Cloud Apps is for cloud app security, not content filtering.
- ✗
Azure AI Language PII detection
Why it's wrong here
PII detection identifies PII but doesn't block output automatically.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse Azure AI Language PII detection (which only identifies PII) with Azure AI Content Safety (which can both detect and block content), leading them to choose D even though it lacks the blocking capability required by the question.
Trap categories for this question
Command / output trap
PII detection identifies PII but doesn't block output automatically.
Detailed technical explanation
How to think about this question
Azure AI Content Safety operates by analyzing text and images against configurable severity levels and custom blocklists, which can include regex patterns for PII like credit card numbers or email addresses. When integrated with Azure OpenAI, it acts as a filter on the response stream, allowing you to set a threshold (e.g., severity level 2) that triggers a block. In a real-world scenario, you might combine this with a custom blocklist of employee IDs to prevent internal data leaks from marketing copy generation.
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.
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FAQ
Questions learners often ask
What does this AI-102 question test?
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: Azure AI Content Safety with a custom blocklist — Azure AI Content Safety with a custom blocklist is the correct choice because it is specifically designed to filter and block harmful or sensitive content, including PII, in real-time. By adding a custom blocklist of PII patterns (e.g., regex for social security numbers), you can automatically block any output from Azure OpenAI that matches those patterns before delivery. This service integrates directly with Azure OpenAI Service via the content filtering system, making it the most appropriate for this use case.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more ways this is tested on AI-102
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company is using Azure OpenAI to generate customer support responses. They want to ensure the model does not use any personally identifiable information (PII) in its outputs. What should they implement?
medium- A.Fine-tune the model on anonymized data.
- B.Use prompt engineering to instruct the model to redact PII.
- ✓ C.Use Azure AI Content Safety to filter PII from the output.
- D.Use a system message instructing the model to avoid PII.
Why C: Azure AI Content Safety provides built-in PII detection and redaction capabilities that can automatically scan and filter sensitive information from model outputs. This is the most reliable approach because it operates as a post-processing filter, catching PII that the model might generate despite instructions. Fine-tuning, prompt engineering, and system messages are all fallible because they rely on the model's compliance rather than enforced filtering.
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Last reviewed: Jul 4, 2026
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