I have a Pipeline registered in my AML workspace. Now I would like to trigger a pipeline run from an Azure Notebook in the same Workspace. In order to get a reference object to the workspace in the notebook I need to authenticate, e.g.
ws = Workspace.from_config()
However, InteractiveLoginAthentication is blocked by my company's domain and MsiAuthentication throws an error as well. ServicePrincipalAuthentication works, but how do I keep the secret safe? What is the prefered way of dealing with secrets in the Azure Machine Learning Service Notebooks?
