Fixing Typo

Author: GovindKrishnan

articles/machine-learning/how-to-secure-workspace-vnet.md

@@ -71,7 +71,7 @@ In this article you learn how to enable the following workspaces resources in a
 * If you plan to use Azure Machine Learning studio and the storage account is also in the VNet, there are extra validation requirements:
 
     * If the storage account uses a __service endpoint__, the workspace private endpoint and storage service endpoint must be in the same subnet of the VNet.
-    * If the storage account uses a __private endpoint__, the workspace private endpoint and storage service endpoint must be in the same VNet. In this case, they can be in different subnets.
+    * If the storage account uses a __private endpoint__, the workspace private endpoint and storage private endpoint must be in the same VNet. In this case, they can be in different subnets.
 
 ### Azure Container Registry
 
@@ -350,4 +350,4 @@ This article is part of a series on securing an Azure Machine Learning workflow.
 * [Secure the inference environment](how-to-secure-inferencing-vnet.md)
 * [Enable studio functionality](how-to-enable-studio-virtual-network.md)
 * [Use custom DNS](how-to-custom-dns.md)
-* [Use a firewall](how-to-access-azureml-behind-firewall.md)
+* [Use a firewall](how-to-access-azureml-behind-firewall.md)