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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
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?