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Question 414

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You have an Azure Machine Learning workspace named Workspace1. Workspace1 has a registered MLflow model named model1 with PyFunc flavor.

You plan to deploy model1 to an online endpoint named endpoint1 without egress connectivity by using Azure Machine Learning Python SDK v2.

You have the following code:

You need to add a parameter to the ManagedOnlineDeployment object to ensure the model deploys successfully.

Solution: Add the environment parameter.

Does the solution meet the goal?

    Correct Answer: A

    The ManagedOnlineDeployment class in Azure ML requires key parameters, one of which is the environment parameter. This parameter specifies the environment in which the model will run, which is crucial for the deployment process as it defines the dependencies and runtime settings. Without specifying the environment parameter, the deployment may fail due to the absence of necessary configuration. Therefore, adding the environment parameter would ensure that the model deploys successfully.

Discussion
f2a9aa5Option: B

To deploy an MLflow model to an online endpoint in Azure Machine Learning without egress connectivity, you can use model packaging. Here’s how: First, ensure that your workspace has no public network access. Package your MLflow model using the --with-package flag: az ml online-deployment create --with-package --endpoint-name $ENDPOINT_NAME -f blue-deployment.yml --all-traffic Replace $ENDPOINT_NAME with your desired endpoint name. This approach allows you to avoid the need for an internet connection while deploying MLflow models. https://learn.microsoft.com/en-us/azure/machine-learning/how-to-deploy-mlflow-models-online-endpoints?view=azureml-api-2&tabs=cli

cryodaxOption: A

The ManagedOnlineDeployment class requires the following parameters: name: str: Name of the deployment resource. model: str | Model | None: Model entity for the endpoint deployment, defaults to None. code_configuration: CodeConfiguration | None: Code Configuration, defaults to None. environment: str | Environment | None: Environment entity for the endpoint deployment, defaults to None. These are the minimum required parameters to create an instance of the ManagedOnlineDeployment class. All other parameters are optional and have default values. Please note that while model, code_configuration, and environment are optional in the constructor, they are typically necessary for a successful deployment. If not provided in the constructor, they should be set before deployment.