feedback

Author: Larry Franks

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

@@ -106,7 +106,7 @@ In this article you learn how to secure the following training compute resources
 
 The following configurations are in addition to those listed in the [Prerequisites](#prerequisites) section, and are specific to **creating** a compute instances/clusters configured for no public IP:
 
-+ Your workspace must use a private endpoint to connect to the VNet. For more information, see [Configure a private endpoint for Azure Machine Learning workspace](how-to-configure-private-link.md).
++ You must use a workspace private endpoint for the compute resource to communicate with Azure Machine Learning services from the VNet. For more information, see [Configure a private endpoint for Azure Machine Learning workspace](how-to-configure-private-link.md).
 
 + In your VNet, allow **outbound** traffic to the following service tags or fully qualified domain names (FQDN):
 

articles/machine-learning/v1/how-to-secure-training-vnet.md

@@ -116,7 +116,7 @@ For more information on using Azure Databricks in a virtual network, see [Deploy
 
 The following configurations are in addition to those listed in the [Prerequisites](#prerequisites) section, and are specific to **creating** a compute instances/clusters configured for no public IP:
 
-+ Your workspace must use a private endpoint to connect to the VNet. For more information, see [Configure a private endpoint for Azure Machine Learning workspace](how-to-configure-private-link.md).
++ You must use a workspace private endpoint for the compute resource to communicate with Azure Machine Learning services from the VNet. For more information, see [Configure a private endpoint for Azure Machine Learning workspace](how-to-configure-private-link.md).
 
 + In your VNet, allow **outbound** traffic to the following service tags or fully qualified domain names (FQDN):