Merge pull request #210843 from sdgilley/sdg-patch

standardize tab names

Author: prmerger-automator[bot]

articles/machine-learning/how-to-configure-private-link.md

@@ -15,12 +15,11 @@ ms.date: 08/29/2022
 
 # Configure a private endpoint for an Azure Machine Learning workspace
 
-[!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v2.md)]
-[!INCLUDE [cli v2](../../includes/machine-learning-cli-v2.md)]
+[!INCLUDE [CLI v2](../../includes/machine-learning-cli-v2.md)]
 
-> [!div class="op_single_selector" title1="Select the Azure Machine Learning SDK or CLI version you are using:"]
-> * [SDK v1](v1/how-to-configure-private-link.md)
-> * [SDK v2 (current version)](how-to-configure-private-link.md)
+> [!div class="op_single_selector" title1="Select the Azure Machine Learning version you are using:"]
+> * [CLI or SDK v1](v1/how-to-configure-private-link.md)
+> * [CLI v2 (current)](how-to-configure-private-link.md)
 
 In this document, you learn how to configure a private endpoint for your Azure Machine Learning workspace. For information on creating a virtual network for Azure Machine Learning, see [Virtual network isolation and privacy overview](how-to-network-security-overview.md).
 
@@ -69,7 +68,8 @@ Use one of the following methods to create a workspace with a private endpoint.
 > [!TIP]
 > If you'd like to create a workspace, private endpoint, and virtual network at the same time, see [Use an Azure Resource Manager template to create a workspace for Azure Machine Learning](how-to-create-workspace-template.md).
 
-# [Azure CLI extension 2.0](#tab/azurecliextensionv2)
+# [Azure CLI](#tab/cli)
+[!INCLUDE [cli v2](../../includes/machine-learning-cli-v2.md)]
 
 When using the Azure CLI [extension 2.0 CLI for machine learning](how-to-configure-cli.md), a YAML document is used to configure the workspace. The following example demonstrates creating a new workspace using a YAML configuration:
 
@@ -142,7 +142,7 @@ az network private-endpoint dns-zone-group add \
 
 # [Portal](#tab/azure-portal)
 
-The __Networking__ tab in Azure Machine Learning studio allows you to configure a private endpoint. However, it requires an existing virtual network. For more information, see [Create workspaces in the portal](how-to-manage-workspace.md).
+The __Networking__ tab in Azure Machine Learning portal allows you to configure a private endpoint. However, it requires an existing virtual network. For more information, see [Create workspaces in the portal](how-to-manage-workspace.md).
 
 ---
 
@@ -154,7 +154,8 @@ Use one of the following methods to add a private endpoint to an existing worksp
 >
 > If you have any existing compute targets associated with this workspace, and they are not behind the same virtual network tha the private endpoint is created in, they will not work.
 
-# [Azure CLI extension 2.0](#tab/azurecliextensionv2)
+# [Azure CLI](#tab/cli)
+[!INCLUDE [cli v2](../../includes/machine-learning-cli-v2.md)]
 
 When using the Azure CLI [extension 2.0 CLI for machine learning](how-to-configure-cli.md), use the [Azure networking CLI commands](/cli/azure/network/private-endpoint#az-network-private-endpoint-create) to create a private link endpoint for the workspace.
 
@@ -231,7 +232,9 @@ You can remove one or all private endpoints for a workspace. Removing a private
 
 To remove a private endpoint, use the following information:
 
-# [Azure CLI extension 2.0](#tab/azurecliextensionv2)
+# [Azure CLI](#tab/cli)
+[!INCLUDE [cli v2](../../includes/machine-learning-cli-v2.md)]
+
 
 When using the Azure CLI [extension 2.0 CLI for machine learning](how-to-configure-cli.md), use the following command to remove the private endpoint:
 
@@ -273,7 +276,9 @@ To enable public access, use the following steps:
 >
 > Microsoft recommends using `public_network_access` to enable or disable public access to a workspace.
 
-# [Azure CLI extension 2.0](#tab/azurecliextensionv2)
+# [Azure CLI](#tab/cli)
+[!INCLUDE [cli v2](../../includes/machine-learning-cli-v2.md)]
+
 
 When using the Azure CLI [extension 2.0 CLI preview for machine learning](how-to-configure-cli.md), use the `az ml update` command to enable `public_network_access` for the workspace:
 

articles/machine-learning/v1/how-to-configure-private-link.md

@@ -15,12 +15,11 @@ ms.date: 08/29/2022
 
 # Configure a private endpoint for an Azure Machine Learning workspace with SDK and CLI v1
 
-[!INCLUDE [sdk v1](../../../includes/machine-learning-sdk-v1.md)]
-[!INCLUDE [cli v1](../../../includes/machine-learning-cli-v1.md)]
+[!INCLUDE [dev v1](../../../includes/machine-learning-dev-v1.md)]
 
-> [!div class="op_single_selector" title1="Select the Azure Machine Learning SDK or CLI version you are using:"]
-> * [SDK v1](how-to-configure-private-link.md)
-> * [SDK v2 (current version)](../how-to-configure-private-link.md)
+> [!div class="op_single_selector" title1="Select the Azure Machine Learning version you are using:"]
+> * [CLI or SDK v1](how-to-configure-private-link.md)
+> * [CLI v2 (current version)](../how-to-configure-private-link.md)
 
 In this document, you learn how to configure a private endpoint for your Azure Machine Learning workspace. For information on creating a virtual network for Azure Machine Learning, see [Virtual network isolation and privacy overview](how-to-network-security-overview.md).
 
@@ -85,7 +84,9 @@ ws = Workspace.create(name='myworkspace',
     show_output=True)
 ```
 
-# [Azure CLI](#tab/azurecliextensionv1)
+# [Azure CLI](#tab/cli)
+[!INCLUDE [cli v1](../../../includes/machine-learning-cli-v1.md)]
+
 
 If you're using the Azure CLI [extension 1.0 for machine learning](reference-azure-machine-learning-cli.md), use the [az ml workspace create](/cli/azure/ml/workspace#az-ml-workspace-create) command. The following parameters for this command can be used to create a workspace with a private network, but it requires an existing virtual network:
 
@@ -120,7 +121,7 @@ Use one of the following methods to add a private endpoint to an existing worksp
 >
 > If you have any existing compute targets associated with this workspace, and they are not behind the same virtual network tha the private endpoint is created in, they will not work.
 
-# [Python1](#tab/python)
+# [Python](#tab/python)
 
 [!INCLUDE [sdk v1](../../../includes/machine-learning-sdk-v1.md)]
 
@@ -135,7 +136,8 @@ ws.add_private_endpoint(private_endpoint_config=pe, private_endpoint_auto_approv
 
 For more information on the classes and methods used in this example, see [PrivateEndpointConfig](/python/api/azureml-core/azureml.core.privateendpointconfig) and [Workspace.add_private_endpoint](/python/api/azureml-core/azureml.core.workspace(class)#add-private-endpoint-private-endpoint-config--private-endpoint-auto-approval-true--location-none--show-output-true--tags-none-).
 
-# [Azure CLI extension 1.0](#tab/azurecliextensionv1)
+# [Azure CLI](#tab/cli)
+[!INCLUDE [cli v1](../../../includes/machine-learning-cli-v1.md)]
 
 The Azure CLI [extension 1.0 for machine learning](reference-azure-machine-learning-cli.md) provides the [az ml workspace private-endpoint add](/cli/azure/ml(v1)/workspace/private-endpoint#az-ml-workspace-private-endpoint-add) command.
 
@@ -171,8 +173,7 @@ _, _, connection_name = ws.get_details()['privateEndpointConnections'][0]['id'].
 ws.delete_private_endpoint_connection(private_endpoint_connection_name=connection_name)
 ```
 
-# [Azure CLI extension 1.0](#tab/azurecliextensionv1)
-
+# [Azure CLI](#tab/cli)
 [!INCLUDE [cli v1](../../../includes/machine-learning-cli-v1.md)]
 
 The Azure CLI [extension 1.0 for machine learning](reference-azure-machine-learning-cli.md) provides the [az ml workspace private-endpoint delete](/cli/azure/ml(v1)/workspace/private-endpoint#az-ml-workspace-private-endpoint-delete) command.
@@ -214,7 +215,7 @@ ws = Workspace.from_config()
 ws.update(allow_public_access_when_behind_vnet=True)
 ```
 
-# [Azure CLI](#tab/azurecliextensionv1)
+# [Azure CLI](#tab/cli)
 
 [!INCLUDE [cli v1](../../../includes/machine-learning-cli-v1.md)]