Azure / Azure/MachineLearningNotebooks
DatabricksStep - how to get keys or principal within Python script
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Dear All,
I am trying to submit a pipeline using a DatabricksStep on databricks cluster following [the official doc](https://github.com/Azure/MachineLearningNotebooks/blob/master//how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/aml-pipelines-use-databricks-as-compute-target.ipynb)
As far I have seen if we execute a databricks notebook we are able to get "input_blob_secretname" and input_blob_config" or input_adls_clientid input_adls_clientsecret.
What if I need to use a standard local python script ? Is there any way to pass automacilatty credential from an existeing dataset (internal or external to AzureML).
Thanks
K
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