Merge pull request #213467 from Blackmist/bo-legacy-doc

update v1 related doc

Author: prmerger-automator[bot]

articles/machine-learning/how-to-migrate-from-v1.md

@@ -105,9 +105,9 @@ Compute of type `AmlCompute` and `ComputeInstance` are fully available for use i
 
 We recommend migrating the code for creating compute to v2.
 
-### Endpoint and deployment (endpoint or web service in v1)
+### Endpoint and deployment (endpoint and web service in v1)
 
-You can continue using your existing v1 model deployments. For new model deployments, we recommend migrating to v2. In v2, we offer managed endpoints or Kubernetes endpoints. The following table guides our recommendation:
+With SDK/CLI v1, you can deploy models on ACI or AKS as web services. Your existing v1 model deployments and web services will continue to function as they are, but Using SDK/CLI v1 to deploy models on ACI or AKS as web services is now consiered as **legacy**. For new model deployments, we recommend migrating to v2. In v2, we offer [managed endpoints or Kubernetes endpoints](./concept-endpoints.md). The following table guides our recommendation:
 
 |Endpoint type in v2|Migrate from|Notes|
 |-|-|-|

articles/machine-learning/v1/how-to-create-attach-kubernetes.md

@@ -7,20 +7,23 @@ ms.service: machine-learning
 ms.subservice: core
 ms.topic: how-to
 ms.custom: devx-track-azurecli, cliv1, sdkv1, event-tier1-build-2022
-ms.author: larryfr
-author:  larryfr
+ms.author: bozhlin
+author:  bozhong68
 ms.reviewer: larryfr
 ms.date: 04/21/2022
 ---
 
-# Create and attach an Azure Kubernetes Service cluster
+# Create and attach an Azure Kubernetes Service cluster with v1
 [!INCLUDE [sdk v1](../../../includes/machine-learning-sdk-v1.md)]
 [!INCLUDE [cli v1](../../../includes/machine-learning-cli-v1.md)]
 
 > [!div class="op_single_selector" title1="Select the version of Azure Machine Learning SDK or CLI extension you are using:"]
 > * [v1](how-to-create-attach-kubernetes.md)
 > * [v2 (current version)](../how-to-attach-kubernetes-anywhere.md)
 
+> [!IMPORTANT]
+> This article shows how to use the CLI and SDK v1 to create or attach an Azure Kubernetes Service cluster, which is considered as **legacy** feature now.  To attach Azure Kubernetes Service cluster using  the recommended approach for v2, see [Introduction to Kubernetes compute target in v2](../how-to-attach-kubernetes-anywhere.md).
+
 Azure Machine Learning can deploy trained machine learning models to Azure Kubernetes Service. However, you must first either __create__ an Azure Kubernetes Service (AKS) cluster from your Azure ML workspace, or __attach__ an existing AKS cluster. This article provides information on both creating and attaching a cluster.
 
 ## Prerequisites