AI-102 Plan and manage an Azure AI solution Practice Question
You are designing a solution that uses Azure OpenAI Service to generate product descriptions based on product attributes (name, category, features). The solution must: - Use a GPT-4 model deployed in the West US region. - Implement content filtering to block inappropriate content. - Handle up to 100 requests per second. - Minimize latency. - Use managed identity for authentication. What should you include in the design?
⚠ Common exam trap
The trap here is that candidates often overcomplicate the solution by adding unnecessary redundancy (multiple models or regions) or extra services (Azure AI Content Safety), when the built-in capabilities of Azure OpenAI—content filtering, managed identity, and sufficient TPM—directly satisfy all requirements with minimal latency.
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
✓
Deploy a single GPT-4 model with sufficient capacity (e.g., 100K TPM). Enable content filtering. Use a system-assigned managed identity for authentication.
Deploying a single GPT-4 model with sufficient capacity (e.g., 100K TPM) ensures the solution can handle up to 100 requests per second while minimizing latency by avoiding cross-region calls. Enabling content filtering directly on the Azure OpenAI deployment blocks inappropriate content without additional services, and using a system-assigned managed identity provides secure, keyless authentication that aligns with Azure best practices.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Deploy multiple GPT-4 models across different regions to reduce latency.
Why it's wrong here
Increased latency due to cross-region calls; single region with enough capacity is better.
- ✓
Deploy a single GPT-4 model with sufficient capacity (e.g., 100K TPM). Enable content filtering. Use a system-assigned managed identity for authentication.
Why this is correct
Meets all requirements with minimal complexity.
- ✗
Use API key authentication stored in Azure Key Vault. Deploy two GPT-4 models to load balance requests.
Why it's wrong here
API keys are less secure; load balancing not needed for 100 RPS.
- ✗
Use Azure AI Content Safety in addition to Azure OpenAI to filter content.
Why it's wrong here
Built-in content filtering in Azure OpenAI is sufficient; additional service adds cost.
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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.