Courseiva

AI-102 Implement generative AI solutions Practice Question

Your company uses Azure AI Content Safety to moderate user-generated content in a chat application. You need to detect and block sexual content in multiple languages. Which pre-built category should you configure?

⚠ Common exam trap

A common mix-up: candidates confuse 'Sexual' with broader categories like 'Hate' or 'Violence', not realizing that Azure AI Content Safety has a dedicated pre-built category for sexual content with specific detection 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

✓

Sexual

Azure AI Content Safety provides pre-built severity-based categories for content moderation. The 'Sexual' category is specifically designed to detect and block explicit sexual content, including text and images, across multiple languages. This makes it the correct choice for your requirement to moderate sexual content in a chat application.

Answer analysis

Option-by-option breakdown

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

  • ✓

    Sexual

    Why this is correct

    The Sexual category directly targets sexual content, satisfying the multilingual detection requirement because Azure AI Content Safety's pre-built categories are language-agnostic, applying trained classifiers across supported languages without per-language configuration. Configuring it blocks such material at the severity threshold you set, meeting the stem's need to detect and block sexual content across multiple languages.

  • ✗

    Self-harm

    Why it's wrong here

    Self-harm detects content promoting or depicting self-injury, not sexual material, so it would not flag the content described. It is correctly configured when moderating suicide, self-injury or eating-disorder content, which is a separate category from sexual.

  • ✗

    Hate

    Why it's wrong here

    Hate targets content attacking people based on protected characteristics such as race or religion, leaving sexual content unflagged. It is the correct category when the moderation goal is detecting identity-based abuse, not explicit sexual material.

  • ✗

    Violence

    Why it's wrong here

    Violence detects content depicting or glorifying physical harm, so sexual material passes through undetected. It is the right category when filtering gore, threats or violent imagery, which is distinct from the sexual category required here.

About these practice questions

This AI-102 question is part of Courseiva's 761-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

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.