DatabricksStep - how to get keys or principal within Python script

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

從 how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/aml-pipelines-use-databricks-as-compute-target.ipynb 開始，將其中 Databricks notebook 認證資料的範例與此處描述的標準本機 Python 指令碼情況進行比較。當從現有 Dataset 傳遞認證資料的支援方式，或該方式的限制獲得確認並記錄後，即可視為完成。

由索引模型根據 Issue 內容生成。