Quick Answer
The answer is self-harm detection, along with sexual content and hate speech detection, as these three are core capabilities of Azure AI Content Safety. This service is built on multi-class classification models that analyze text and images across four predefined harm categories: sexual, hate, self-harm, and violence, with each category using severity-based scoring to flag content appropriately. On the Microsoft Azure AI Engineer Associate AI-102 exam, this concept often appears in scenario-based questions where you must identify which content types the service can moderate, with a common trap being the inclusion of “profanity filtering” or “phishing detection,” which are handled by other Azure services like Translator or Defender. A reliable memory tip is to remember the acronym “SHSV” — Sexual, Hate, Self-harm, Violence — as the four pillars of Azure AI Content Safety’s detection scope.
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.
Which THREE of the following are capabilities of Azure AI Content Safety?
Sexual content detection
Sexual content is one of the four categories in Content Safety.
Hate speech detection
Content Safety includes hate speech filters.
Self-harm detection
Self-harm content is a category in Content Safety.
Sentiment analysis
Why wrong: Sentiment analysis is part of Azure AI Language.
Personally identifiable information (PII) detection
Why wrong: PII detection is provided by Azure AI Language, not Content Safety.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Sexual content detection
Azure AI Content Safety is specifically designed to detect harmful content across four categories: sexual content, hate speech, self-harm, and violence. Option A is correct because sexual content detection is one of the four core content categories that the service is trained to identify, using multi-class classification models to flag explicit or suggestive material.
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.
Sexual content detection
Why this is correct
Sexual content is one of the four categories in Content Safety.
Related concept
Read the scenario before looking for a memorised answer.
Hate speech detection
Why this is correct
Content Safety includes hate speech filters.
Related concept
Read the scenario before looking for a memorised answer.
Self-harm detection
Why this is correct
Self-harm content is a category in Content Safety.
Related concept
Read the scenario before looking for a memorised answer.
Sentiment analysis
Why it's wrong here
Sentiment analysis is part of Azure AI Language.
Personally identifiable information (PII) detection
Why it's wrong here
PII detection is provided by Azure AI Language, not Content Safety.
Common exam traps
The trap here is that candidates confuse Azure AI Content Safety with other Azure AI services that handle sentiment analysis or PII detection, leading them to select options that belong to Azure AI Language or Azure AI Search instead of the specific content moderation service.
Detailed technical explanation
Azure AI Content Safety uses transformer-based models fine-tuned on large datasets of harmful content, with severity levels (0-7) for each category. The service supports both synchronous and asynchronous analysis via REST API endpoints, and can be integrated with moderation workflows in Azure OpenAI Service to filter user prompts and model completions. A subtle behavior is that the service can detect implicit harmful content, such as coded language or euphemisms, not just explicit terms.
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: Sexual content detection — Azure AI Content Safety is specifically designed to detect harmful content across four categories: sexual content, hate speech, self-harm, and violence. Option A is correct because sexual content detection is one of the four core content categories that the service is trained to identify, using multi-class classification models to flag explicit or suggestive material.
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
This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.
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