The answer is that the requested capacity of 10 exceeds the available quota for the gpt-4 model in that region. This is because Azure OpenAI quotas are model-specific and region-specific, meaning each model type, such as gpt-4, has a separate capacity limit per region, and the deployment fails when the requested units surpass that limit. On the Microsoft Azure AI Engineer Associate AI-102 exam, this scenario tests your understanding of how Azure OpenAI resource provisioning works, often appearing as a trap where candidates mistakenly blame invalid SKU names, deprecated model versions, or resource group issues instead of recognizing the quota constraint. A key memory tip is to think of quota as a regional “budget” per model—just because you have capacity in one region doesn’t mean it’s available in another, so always check the specific model’s regional quota before deploying.
AI-102 Implement generative AI solutions Practice Question
This AI-102 practice question tests your understanding of implement generative ai solutions. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
Network Topology
You run the Azure CLI command shown in the exhibit. After a few minutes, the deployment fails with a quota error. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The requested capacity of 10 exceeds the available quota for the gpt-4 model in that region.
The quota error indicates that the requested capacity (10 units) for the gpt-4 model exceeds the available quota in the target region. Azure OpenAI deployments require sufficient model-specific quota, which is region- and model-specific. The error is not related to SKU name validity, model version deprecation, or resource group existence.
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.
✗
The SKU name 'Standard' is invalid for Azure OpenAI deployments.
Why it's wrong here
Standard is a valid SKU.
✗
The model version '0613' is deprecated and no longer available.
Why it's wrong here
0613 is a valid version.
✓
The requested capacity of 10 exceeds the available quota for the gpt-4 model in that region.
Why this is correct
Quota errors occur when capacity exceeds regional limits.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
The resource group name 'myResourceGroup' does not exist.
Why it's wrong here
A missing resource group would cause a different error.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates might confuse a quota error with a model deprecation or SKU issue, but the error message's explicit mention of 'quota' directly points to capacity limits, not configuration or availability problems.
Detailed technical explanation
How to think about this question
Azure OpenAI quota is enforced at the subscription level per region and per model (e.g., gpt-4, gpt-35-turbo). The 'az cognitiveservices account deployment create' command attempts to allocate capacity (in throughput units, typically 1 unit = 1K TPM). If the requested capacity exceeds the available quota, the API returns a 429 or 403 error with a quota-specific message. Quota can be increased via a support request, and it is independent of SKU or model version validity.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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.
Implement generative AI solutions — This question tests Implement generative AI solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The requested capacity of 10 exceeds the available quota for the gpt-4 model in that region. — The quota error indicates that the requested capacity (10 units) for the gpt-4 model exceeds the available quota in the target region. Azure OpenAI deployments require sufficient model-specific quota, which is region- and model-specific. The error is not related to SKU name validity, model version deprecation, or resource group existence.
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: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.