Microsoft Azure AI Engineer Associate AI-102 Practice Question
You are creating a new project inside an Azure AI Studio hub that already contains an Azure OpenAI resource with a deployed gpt-35-turbo model. You want your prompt flow to call this model from the Foundry canvas. What must you do before the model becomes selectable from the Model block's dropdown list?
Grant the hub's managed identity the Cognitive Services OpenAI User role on the resource.
Create a private endpoint for the Azure OpenAI resource and add the endpoint name to the project's network settings.
Register the existing Azure OpenAI resource in the hub's Foundry Models section so its deployments are imported into the catalog.
Attach an Azure Machine Learning on-demand compute cluster to the project and enable it for model inference workloads.
Foundry projects surface only the model deployments that are registered under the hub's Foundry Models inventory. Even if an Azure OpenAI resource exists in the same subscription, its model deployments are invisible to the prompt-flow designer until the resource is explicitly added to the hub as an "Azure OpenAI (Foundry Models)" connection. Adding other Azure service links, networking features, or compute targets does not register the model with Foundry, so those actions will not make the deployment appear in the canvas.
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Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
What is the Foundry Models section in Azure AI Studio?
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How do you register an Azure OpenAI resource to the Foundry Models section?
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Why can't a private endpoint or compute cluster make the model deployment available in Foundry?
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