You have an Azure Machine Learning workspace named Workspace1 containing a registered MLflow model named model1 with the PyFunc flavor. You intend to deploy model1 to an online endpoint named endpoint1 that has no egress connectivity, using the Azure Machine Learning Python SDK v2.

You are provided with the following code:

# Code for deployment would be here

# Code for deployment would be here

To ensure the model deploys successfully, you must add a parameter to the ManagedOnlineDeployment object.

Proposed Solution: Add the environment parameter.

Does this solution meet the goal?