DP-100 Question #517: Real Exam Question with Answer & Explanation

Question

You have an Azure subscription named Sub1 that contains an Azure Machine Learning workspace named Workspace1. Workspace1 contains the following assets: - a registered MLflow model named Model1 - an online endpoint named Endpoint1 Outbound network connectivity from Endpoint1 is blocked. You need to deploy Model1 to Endpoint1. What should you do first?

Options

• AIn Workspace1, create a linked service.
• BIn Sub1, create an Azure Machine Learning registry.
• CIn Workspace1, create a package.
• DInSub1, create a private endpoint.

Explanation

When deploying a machine learning model to a managed online endpoint, you can secure communication with the online endpoint by using private endpoints. Note: Secure outbound access with workspace managed virtual network For outbound communication with a workspace managed virtual network, Azure Machine Creates private endpoints for the managed virtual network to use for communication with Azure resources that are used by the workspace, such as Azure Storage, Azure Key Vault, and Azure Container Registry. Allows deployments to access the Microsoft Container Registry (MCR), which can be useful when you want to use curated environments or MLflow no-code deployment. Allows users to configure private endpoint outbound rules to private resources and configure outbound rules (service tag or FQDN) for public resources. https://learn.microsoft.com/en-us/azure/machine-learning/concept-secure-online-endpoint

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