This AI-102 practice question tests your understanding of plan and manage an azure ai solution. 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.
You are using Azure AI Content Safety to moderate user-generated content in a social media app. The solution must detect and block hate speech and self-harm content in real time. Which Content Safety feature should you use?
Custom category management
Why wrong: Custom categories are for your own content lists, not built-in detection.
Severity analysis
Why wrong: Severity analysis is a feature within text moderation, not a separate feature.
Image moderation
Why wrong: Image moderation is for images, not text content.
Text moderation
Text moderation API detects hate, self-harm, violence, etc.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Text moderation
Text moderation is the correct choice because Azure AI Content Safety's text moderation API is specifically designed to detect and block hate speech and self-harm content in real time. It analyzes text for severity levels across multiple categories, including hate and self-harm, and returns a severity score to trigger blocking actions. This directly meets the requirement for real-time detection of these specific content types in user-generated text.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Custom category management
Why it's wrong here
Custom categories are for your own content lists, not built-in detection.
Severity analysis
Why it's wrong here
Severity analysis is a feature within text moderation, not a separate feature.
Image moderation
Why it's wrong here
Image moderation is for images, not text content.
Text moderation
Why this is correct
Text moderation API detects hate, self-harm, violence, etc.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates may confuse severity analysis as a standalone feature, but it is actually a sub-component of text moderation; the question asks for the feature that performs the detection, not the analysis of the detection results.
Detailed technical explanation
Azure AI Content Safety's text moderation API uses multi-class classification models trained on large datasets to detect hate speech, self-harm, sexual, and violence categories, each with a severity level from 0 to 7. The API returns a 'categoriesAnalysis' object with a 'severity' integer; a common threshold for blocking is severity >= 4 (medium). In a real-time social media app, you would call the API on each post or comment, and if the severity for hate or self-harm exceeds your threshold, you can reject the content or flag it for review, ensuring low-latency moderation.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Plan and manage an Azure AI solution — This question tests Plan and manage an Azure AI solution — Read the scenario before looking for a memorised answer..
The correct answer is: Text moderation — Text moderation is the correct choice because Azure AI Content Safety's text moderation API is specifically designed to detect and block hate speech and self-harm content in real time. It analyzes text for severity levels across multiple categories, including hate and self-harm, and returns a severity score to trigger blocking actions. This directly meets the requirement for real-time detection of these specific content types in user-generated text.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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