The correct answer is to deploy the gpt-4-0613 model in the Azure OpenAI resource. This resolves the startup failure because Azure AI Foundry agents require a specific, pre-deployed model in the linked Azure OpenAI resource to invoke; the agent cannot fall back to an undeployed model or use a different version automatically. On the AI-102 exam, this scenario tests your understanding of the dependency between AI Foundry agents and Azure OpenAI model deployments—a common trap is assuming the agent can use any available model or that the deployment happens automatically. Remember that in Azure AI Foundry, the agent’s model configuration must exactly match a deployed model name and version in the associated Azure OpenAI resource; otherwise, the agent fails to start. Memory tip: “Agent needs a deployed mate”—if the model isn’t deployed, the agent can’t operate.
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. 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.
Exhibit
{
"configurations": {
"default": [
{
"model": {
"provider": "AzureOpenAI",
"name": "gpt-4",
"version": "0613"
},
"connection_type": "Strong",
"system_prompt": "You are an AI assistant..."
}
]
}
}
Refer to the exhibit. You are configuring an agent in Azure AI Foundry. The agent fails to start because the specified model is not available in the current Azure OpenAI resource. What should you do to resolve the issue?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Deploy the gpt-4-0613 model in the Azure OpenAI resource
The agent fails to start because the specified model (likely gpt-4-0613) is not deployed in the Azure OpenAI resource. In Azure AI Foundry, agents require an existing model deployment to invoke; you cannot use a model that hasn't been deployed. Option B correctly resolves this by deploying the required model in the Azure OpenAI resource.
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.
✗
Modify the system_prompt to include the model version
Why it's wrong here
System prompt does not deploy models.
✓
Deploy the gpt-4-0613 model in the Azure OpenAI resource
Why this is correct
The model must be deployed before use.
Related concept
Read the scenario before looking for a memorised answer.
✗
Change the connection_type to 'Weak'
Why it's wrong here
Connection type does not affect model availability.
✗
Change the provider to 'AzureAI'
Why it's wrong here
Provider must be AzureOpenAI for GPT models.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates might think modifying the system_prompt or changing a connection setting can fix a missing model deployment, but Azure OpenAI requires explicit model deployment before any resource can use it.
Detailed technical explanation
How to think about this question
Azure AI Foundry agents use the Azure OpenAI service under the hood, which requires a model deployment (e.g., gpt-4-0613) to be created via the Azure portal or API before it can be referenced. The deployment name must match exactly what the agent configuration expects. A common real-world scenario is when a team uses a different region or subscription where the model hasn't been deployed, causing a 404 or 'Model not found' error at agent startup.
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.
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 the gpt-4-0613 model in the Azure OpenAI resource — The agent fails to start because the specified model (likely gpt-4-0613) is not deployed in the Azure OpenAI resource. In Azure AI Foundry, agents require an existing model deployment to invoke; you cannot use a model that hasn't been deployed. Option B correctly resolves this by deploying the required model in the Azure OpenAI resource.
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.
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.