AI-102 Implement generative AI solutions Practice Question
A company is deploying a generative AI solution using Azure OpenAI Service to generate product descriptions. The solution must comply with responsible AI principles, specifically ensuring that generated content does not include harmful or offensive language. Which Azure AI service feature should they implement to automatically filter the output?
⚠ Common exam trap
Test-takers frequently confuse the built-in content filtering of Azure OpenAI Service with the separate Azure AI Content Safety service, which requires additional setup and is not automatically applied to OpenAI outputs.
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
✓
Enable the default content filtering system in Azure OpenAI Service.
Azure OpenAI Service includes a built-in default content filtering system that automatically screens generated outputs for harmful or offensive language, aligning with responsible AI principles. This system operates at the service level without additional configuration, making it the simplest and most direct way to filter product descriptions for compliance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Enable the default content filtering system in Azure OpenAI Service.
Why this is correct
Azure OpenAI Service includes a default content filtering system that automatically filters harmful content based on severity levels.
- ✗
Configure Prompt Shields in Azure AI Content Safety.
Why it's wrong here
Prompt Shields protect against prompt injection attacks, not automatically filter harmful content.
- ✗
Use Azure AI Content Safety with a custom category severity threshold.
Why it's wrong here
Custom Content Safety is for custom categories, but the question asks for automatic filtering of harmful content, which is built into the default content filtering.
- ✗
Use groundedness detection in Azure AI Content Safety.
Why it's wrong here
Groundedness detection checks if the model's output is based on source material, not for harmful content.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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