Merge pull request #80285 from sdgilley/sdg-master2

add info about storage account

Author: PRMerger9

articles/machine-learning/service/concept-workspace.md

@@ -80,7 +80,7 @@ Get started with the service by [creating a workspace](setup-create-workspace.md
 When you create a new workspace, it automatically creates several Azure resources that are used by the workspace:
 
 + [Azure Container Registry](https://azure.microsoft.com/services/container-registry/): Registers docker containers that you use during training and when you deploy a model. To minimize costs, ACR is **lazy-loaded** until deployment images are created.
-+ [Azure Storage account](https://azure.microsoft.com/services/storage/): Is used as the default datastore for the workspace.
++ [Azure Storage account](https://azure.microsoft.com/services/storage/): Is used as the default datastore for the workspace.  Jupyter notebooks that are used with your notebook VMs are stored here as well.
 + [Azure Application Insights](https://azure.microsoft.com/services/application-insights/): Stores monitoring information about your models.
 + [Azure Key Vault](https://azure.microsoft.com/services/key-vault/): Stores secrets that are used by compute targets and other sensitive information that's needed by the workspace.
 

articles/machine-learning/service/quickstart-run-cloud-notebook.md

@@ -70,6 +70,9 @@ After your VM is running, use the **Notebook VMs** section to launch the Jupyter
 
 1. On the Jupyter notebook webpage, the top foldername is your username.  Select this folder.
 
+    > [!TIP]
+    > This folder is located on the [storage container](concept-workspace.md#resources) in your workspace rather than on the notebook VM itself.  You can delete the notebook VM and still keep all your work.  When you create a new notebook VM later, it will load  this same folder.
+
 1. The samples foldername includes a version number, for example **samples-1.0.33.1**.  Select the samples folder.
 
 1. Select the **quickstart** notebook.