- A
Deploy multiple GPT-4 models across different regions to reduce latency.
Why wrong: Increased latency due to cross-region calls; single region with enough capacity is better.
- B
Deploy a single GPT-4 model with sufficient capacity (e.g., 100K TPM). Enable content filtering. Use a system-assigned managed identity for authentication.
Meets all requirements with minimal complexity.
- C
Use API key authentication stored in Azure Key Vault. Deploy two GPT-4 models to load balance requests.
Why wrong: API keys are less secure; load balancing not needed for 100 RPS.
- D
Use Azure AI Content Safety in addition to Azure OpenAI to filter content.
Why wrong: Built-in content filtering in Azure OpenAI is sufficient; additional service adds cost.
AI-102 Plan and manage an Azure AI solution Practice Question
This AI-102 practice question tests your understanding of plan and manage an azure ai solution. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"minimum / minimize"Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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.
Option B is correct because 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
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.
Common exam traps
Common exam trap: answer the scenario, not the keyword
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.
Detailed technical explanation
How to think about this question
Azure OpenAI’s content filtering is built into the service and operates at the inference layer, using configurable severity levels (safe, low, medium, high) to block harmful content before it reaches the client. Managed identity authentication uses Azure AD tokens, eliminating the need to rotate or store secrets, and integrates seamlessly with Azure RBAC for fine-grained access control. The TPM (tokens per minute) capacity directly correlates to throughput; 100K TPM can sustain approximately 100 requests per second for short prompts (e.g., 100 tokens per request), assuming efficient token usage and no throttling.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Plan and manage an Azure AI solution — study guide chapter
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FAQ
Questions learners often ask
What does this AI-102 question test?
Plan and manage an Azure AI solution — This question tests Plan and manage an Azure AI solution — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Deploy a single GPT-4 model with sufficient capacity (e.g., 100K TPM). Enable content filtering. Use a system-assigned managed identity for authentication. — Option B is correct because 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.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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.
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