[Question] [Azure ML] Retrieving secret in Azure ML SDK v2

In the Azure ML Python SDK v1 a secret can be retrieved from the Azure Key Vault associated to the workspace using the following snippet:

from azureml.core import Run

secret = Run.get_context().get_secret("SECRET_NAME")

(see https://docs.microsoft.com/en-us/azure/machine-learning/how-to-use-secrets-in-runs).

However, I can’t seem to find an equivalent for this in v2 of the SDK. Will this still be added or is there another recommended solution for doing this?

[tomasvanpottelbergh]

The use case would be to get the credentials for a Service Principal which is used to access some data sources. As far as I can see, this is the only way to make a certain resource available to the whole Azure ML workspace, regardless of the compute instance or cluster the job is run. Is this correct or is there a better way without having to use the v1 SDK?

[luigiw]

@tomasvanpottelbergh you can use the workspace level MSI and grant access to that MSI. I’ll ask around to see if there’re any examples.