Include notice on how to enroll and preview notice

Author: deeikele

articles/machine-learning/concept-soft-delete.md

@@ -17,6 +17,11 @@ ms.date: 10/31/2022
 
 The soft-delete feature for Azure Machine Learning workspace provides a data protection capability that enables you to attempt recovery of workspace data after accidental deletion. Soft delete introduces a two-step approach in deleting a workspace. When a workspace is deleted, it's first soft deleted. While in soft-deleted state, you can choose to recover or permanently delete a workspace and its data during a data retention period.
 
+> [!IMPORTANT]	
+> Workspace soft delete is currently in public preview. This preview is provided without a service level agreement, and it's not recommended for production workloads. Certain features might not be supported or might have constrained capabilities. 	
+> For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
+> To enroll your Azure Subscription, see [Register soft-delete on an Azure subscription](#register-soft-delete-on-an-azure-subscription).
+
 ## How workspace soft delete works
 
 When a workspace is soft-deleted, data and metadata stored service-side get soft-deleted, but some configurations get hard-deleted. Below table provides an overview of which configurations and objects get soft-deleted, and which are hard-deleted.