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AI-102 Implement generative AI solutions Practice Question

Which TWO features of Azure AI Content Safety can help you moderate user-generated content in a social media application?

⚠ Common exam trap

Candidates often confuse Azure AI Content Safety's features with those of other Azure AI services (like Azure AI Language for PII or Azure OpenAI for prompt injection), leading them to select options that are technically valid in Azure but not part of Content Safety's core moderation capabilities.

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

Self-harm content detection.

Self-harm content detection (A) is a feature of Azure AI Content Safety that specifically identifies text or images related to self-harm, which is a critical category for moderating user-generated content in social media to prevent harm and comply with safety policies. Hate speech severity detection (B) is another core feature that classifies hate speech into severity levels (e.g., low, medium, high), enabling nuanced moderation of offensive content.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Self-harm content detection.

    Why this is correct

    Detects self-harm content.

  • Hate speech severity detection.

    Why this is correct

    Detects hate speech content.

  • PII redaction.

    Why it's wrong here

    Not a Content Safety feature.

  • Groundedness detection.

    Why it's wrong here

    For RAG, not user content.

  • Prompt injection detection.

    Why it's wrong here

    Jailbreak detection, not content moderation.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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.