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 block for deployment

You must add a parameter to the ManagedOnlineDeployment object to ensure the model deployment is successful.

Proposed Solution: Add the scoring_script parameter.

Does the proposed solution meet the goal?