AI-102 Plan and manage an Azure AI solution Practice Question
Which THREE considerations are important when planning to use Azure OpenAI Service in a production environment?
⚠ Common exam trap
Microsoft often tests the misconception that Azure OpenAI Service allows training models from scratch, but the service only supports fine-tuning of pre-trained base models, not full custom training.
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
✓
Configure content filtering to block harmful outputs
Azure OpenAI Service includes built-in content filtering to detect and block harmful outputs such as hate, violence, or self-harm. This is a critical safety and compliance requirement for production deployments, as it helps meet responsible AI principles and regulatory obligations. Without configuring content filters, the service could generate inappropriate responses that violate usage policies or legal standards.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Configure content filtering to block harmful outputs
Why this is correct
Required for responsible use.
- ✗
Train a custom model from scratch using your own data
Why it's wrong here
You fine-tune existing models, not train from scratch.
- ✓
Plan for rate limits and quotas to handle expected load
Why this is correct
Prevents throttling.
- ✓
Determine data residency requirements for your region
Why this is correct
Data may be processed in specific regions.
- ✗
Deploy the service within a virtual network (VNet)
Why it's wrong here
Optional, not mandatory.
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