moving note

Author: Larry Franks

articles/machine-learning/v1/how-to-deploy-update-web-service.md

@@ -18,8 +18,6 @@ ms.custom: deploy, cliv1, sdkv1, event-tier1-build-2022
 
 In this article, you learn how to update a web service that was deployed with Azure Machine Learning.
 
-[!INCLUDE [cli v1 deprecation](../../../includes/machine-learning-cli-v1-deprecation.md)]
-
 ## Prerequisites
 
 - This article assumes you have already deployed a web service with Azure Machine Learning. If you need to learn how to deploy a web service, [follow these steps](how-to-deploy-and-where.md).
@@ -34,6 +32,8 @@ In this article, you learn how to update a web service that was deployed with Az
                    workspace_name="myworkspace")
     ```
 
+[!INCLUDE [cli v1 deprecation](../../../includes/machine-learning-cli-v1-deprecation.md)]
+
 ## Update web service
 
 To update a web service, use the `update` method. You can update the web service to use a new model, a new entry script, or new dependencies that can be specified in an inference configuration. For more information, see the documentation for [Webservice.update](/python/api/azureml-core/azureml.core.webservice.webservice.webservice#update--args-).

articles/machine-learning/v1/how-to-track-monitor-analyze-runs.md

@@ -20,8 +20,6 @@ ms.custom: devx-track-python, devx-track-azurecli, cliv1, event-tier1-build-2022
 
 The [Azure Machine Learning SDK for Python v1](/python/api/overview/azure/ml/intro) and [Machine Learning CLI](reference-azure-machine-learning-cli.md) provide various methods to monitor, organize, and track your runs for training and experimentation. Your ML run history is an important part of an explainable and repeatable ML development process.
 
-[!INCLUDE [cli v1 deprecation](../../../includes/machine-learning-cli-v1-deprecation.md)]
-
 > [!TIP]
 > For information on using studio, see [Track, monitor, and analyze runs with studio](../how-to-track-monitor-analyze-runs.md).
 >
@@ -61,6 +59,7 @@ You'll need the following items:
 
 * The [Azure CLI](/cli/azure/) and [CLI extension for Azure Machine Learning](reference-azure-machine-learning-cli.md).
 
+    [!INCLUDE [cli v1 deprecation](../../../includes/machine-learning-cli-v1-deprecation.md)]
 
 ## Monitor run performance