Merge pull request #211811 from ssalgadodev/identityWarnings

AutoML | changes to Identity Based Data

Author: prmerger-automator[bot]

articles/machine-learning/how-to-identity-based-data-access.md

@@ -27,9 +27,6 @@ To create datastores that use **credential-based** authentication, like access k
 
 There are two scenarios in which you can apply identity-based data access in Azure Machine Learning. These scenarios are a good fit for identity-based access when you're working with confidential data and need more granular data access management:
 
-> [!WARNING]
-> Identity-based data access is not supported for [automated ML experiments](how-to-configure-auto-train.md).
-
 - Accessing storage services
 - Training machine learning models with private data
 
@@ -158,9 +155,6 @@ If your storage account has virtual network settings, that dictates what identit
 
 We recommend that you use [Azure Machine Learning datasets](./v1/how-to-create-register-datasets.md) when you interact with your data in storage with Azure Machine Learning.  
 
-> [!IMPORTANT]
-> Datasets using identity-based data access are not supported for [automated ML experiments](how-to-configure-auto-train.md).
-
 Datasets package your data into a lazily evaluated consumable object for machine learning tasks like training. Also, with datasets you can [download or mount](v1/how-to-train-with-datasets.md#mount-vs-download) files of any format from Azure storage services like Azure Blob Storage and Azure Data Lake Storage to a compute target.
 
 To create a dataset, you can reference paths from datastores that also use identity-based data access.