Merge pull request #216164 from santiagxf/santiagxf/aml-batch-bastion

Update how-to-secure-batch-endpoint.md

Author: prmerger-automator[bot]

articles/machine-learning/batch-inference/how-to-authenticate-batch-endpoint.md

@@ -81,7 +81,7 @@ job = ml_client.batch_endpoints.invoke(
     )
 ```
 
-# [Azure ML studio](#tab/studio)
+# [studio](#tab/studio)
 
 Jobs are always started using the identity of the user in the portal in studio.
 
@@ -131,7 +131,7 @@ job = ml_client.batch_endpoints.invoke(
     )
 ```
 
-# [Azure ML studio](#tab/studio)
+# [studio](#tab/studio)
 
 You can't run jobs using a service principal from studio.
 
@@ -174,7 +174,7 @@ job = ml_client.batch_endpoints.invoke(
     )
 ```
 
-# [Azure ML studio](#tab/studio)
+# [studio](#tab/studio)
 
 You can't run jobs using a managed identity from studio.
 

articles/machine-learning/batch-inference/how-to-secure-batch-endpoint.md

@@ -34,7 +34,7 @@ The following diagram shows how the networking looks like for batch endpoints wh
 
 :::image type="content" source="./media/how-to-secure-batch-endpoint/batch-vnet-peering.png" alt-text="Diagram that shows the high level architecture of a secure Azure Machine Learning workspace deployment.":::
 
-In order to enable the jump host VM or self-hosted agent VMs (BASTION) access to the resources in Azure Machine Learning VNET, the previous architecture uses virtual network peering to seamlessly connect these two virtual networks. Thus the two virtual networks appear as one for connectivity purposes. The traffic between VMs and Azure Machine Learning resources in peered virtual networks uses the Microsoft backbone infrastructure. Like traffic between them in the same network, traffic is routed through Microsoft's private network only.
+In order to enable the jump host VM (or self-hosted agent VMs  if using [Azure Bastion](../../bastion/bastion-overview.md)) access to the resources in Azure Machine Learning VNET, the previous architecture uses virtual network peering to seamlessly connect these two virtual networks. Thus the two virtual networks appear as one for connectivity purposes. The traffic between VMs and Azure Machine Learning resources in peered virtual networks uses the Microsoft backbone infrastructure. Like traffic between them in the same network, traffic is routed through Microsoft's private network only.
 
 ## Securing batch deployment jobs