AI-102 Plan and manage an Azure AI solution Practice Question
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?
⚠ Common exam trap
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.
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 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.
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
The system prompt only shapes model behaviour at inference; it cannot make an undeployed model available in the resource. The failure is a missing deployment. Editing prompts is correct when tuning responses, not when resolving model availability errors.
- ✓
Deploy the gpt-4-0613 model in the Azure OpenAI resource
Why this is correct
The agent requires a deployed model matching the specified name in the Azure OpenAI resource. Deploying gpt-4-0613 creates that deployment, making the model available for the agent to reference and allowing it to start successfully.
- ✗
Change the connection_type to 'Weak'
Why it's wrong here
Connection type governs authentication and network reachability to the resource, not which models are deployed. A 'Weak' connection cannot supply a missing model. Connection type is the right setting when the agent cannot authenticate or reach the endpoint.
- ✗
Change the provider to 'AzureAI'
Why it's wrong here
Changing the provider to 'AzureAI' alters which service endpoint the agent calls; it does not deploy the missing model into the Azure OpenAI resource. The fix is deploying a supported model there. Provider selection matters when routing to a different AI service entirely.
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