AI-102 Plan and manage an Azure AI solution Practice Question
Your company uses Azure OpenAI Service to generate marketing content. You need to ensure that the generated content does not contain offensive language. Which feature should you enable?
⚠ Common exam trap
Many candidates confuse operational features like logging or rate limiting with content moderation, assuming any security-related setting can filter offensive language, when only Azure AI Content Safety provides the specific content filtering capability.
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 filters.
Azure AI Content Safety filters are specifically designed to detect and block offensive, inappropriate, or harmful language in text and images. By enabling these filters on your Azure OpenAI Service deployment, you can configure severity thresholds for categories like hate, self-harm, sexual, and violence content, ensuring generated marketing content meets safety policies.
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 filters.
Why this is correct
Azure AI Content Safety filters run on both prompts and completions, scoring hate, violence, sexual and self-harm categories and blocking them. Enabling them enforces the requirement that generated marketing content must not contain offensive language, without altering the model itself.
- ✗
Audit logging for all API calls.
Why it's wrong here
Audit logging records API calls for compliance and forensics after the fact; it neither detects nor blocks offensive output. Logging is tempting because it provides visibility, and would be correct when the requirement is to trace usage, investigate incidents, or meet regulatory record-keeping obligations.
- ✗
Data encryption at rest.
Why it's wrong here
Encryption at rest protects stored data from unauthorised access; it does not inspect or filter generated text. Encryption is tempting because it is a security control, and would be correct when the requirement is to protect data confidentiality in storage or in transit.
- ✗
Rate limiting on the endpoint.
Why it's wrong here
Rate limiting caps request volume to protect throughput and quotas; it does not examine content, so offensive language still reaches users. Throttling is tempting because it governs endpoint usage, and would be correct when the requirement is to prevent abuse or stay within token-per-minute quotas.
Go deeper
Related to this question
About these practice questions
Courseiva writes every AI-102 question from scratch — 761 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
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.