Microsoft Azure AI Engineer Associate AI-102 Practice Question
You are creating a new agent in Azure AI Studio by using the Azure AI Foundry Agent Service. The agent must invoke a privately fine-tuned Llama-2 model that you registered in the Azure AI Model Catalog. Before you can publish the agent, which additional resource must you create and associate with the agent so that the model can be invoked at runtime?
An Azure AI Managed Online Endpoint that hosts the fine-tuned model.
An Azure OpenAI Service deployment that exposes GPT-35-Turbo.
An Azure AI Search index that contains the model's training data.
An Azure Container Registry that stores the model's image artifact.
Agents can only call a model through a live inference endpoint. Models stored in the Azure AI Model Catalog are not directly invokable until they are deployed to an Azure AI Managed Online Endpoint. The endpoint provides the HTTPS scoring URI and authentication that the agent uses at runtime. An Azure OpenAI deployment is only required for OpenAI-hosted models, an Azure AI Search index is optional for retrieval-augmented generation, and an Azure Container Registry merely stores images but does not expose an inference API. Therefore, the managed online endpoint is the required resource.
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