last fixes

Author: sdgilley

articles/machine-learning/how-to-create-manage-compute-instance.md

@@ -32,7 +32,7 @@ Compute instances can run jobs securely in a [virtual network environment](how-t
 
 * An Azure Machine Learning workspace. For more information, see [Create an Azure Machine Learning workspace](how-to-manage-workspace.md).
 
-* The [Azure CLI extension for Machine Learning service](reference-azure-machine-learning-cli.md), [Azure Machine Learning Python SDK](/python/api/overview/azure/ml/intro), or the [Azure Machine Learning Visual Studio Code extension](how-to-setup-vs-code.md).
+* The [Azure CLI extension for Machine Learning service (v1)](reference-azure-machine-learning-cli.md), [Azure Machine Learning Python SDK](/python/api/overview/azure/ml/intro), or the [Azure Machine Learning Visual Studio Code extension](how-to-setup-vs-code.md).
 
 ## Create
 

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

@@ -79,6 +79,8 @@ You'll need the following items:
 
     # [Azure CLI](#tab/azure-cli)
 
+    [!INCLUDE [select-subscription](../../includes/machine-learning-cli-subscription.md)] 
+    
     To start a run of your experiment, use the following steps:
 
     1. From a shell or command prompt, use the Azure CLI to authenticate to your Azure subscription:
@@ -87,7 +89,6 @@ You'll need the following items:
         az login
         ```
 
-        [!INCLUDE [select-subscription](../../includes/machine-learning-cli-subscription.md)] 
 
     1. Attach a workspace configuration to the folder that contains your training script. Replace `myworkspace` with your Azure Machine Learning workspace. Replace `myresourcegroup` with the Azure resource group that contains your workspace:
 

articles/machine-learning/tutorial-create-secure-workspace.md

@@ -420,21 +420,19 @@ For more information on creating a compute cluster and compute cluster, includin
 
 ## Configure image builds
 
+[!INCLUDE [cli v1](../../includes/machine-learning-cli-v1.md)]
+
 When Azure Container Registry is behind the virtual network, Azure Machine Learning can't use it to directly build Docker images (used for training and deployment). Instead, configure the workspace to use the compute cluster you created earlier. Use the following steps to create a compute cluster and configure the workspace to use it to build images:
 
 1. Navigate to [https://shell.azure.com/](https://shell.azure.com/) to open the Azure Cloud Shell.
 1. From the Cloud Shell, use the following command to install the 1.0 CLI for Azure Machine Learning:
 
-    [!INCLUDE [cli v1](../../includes/machine-learning-cli-v1.md)]
-
     ```azurecli-interactive
     az extension add -n azure-cli-ml
     ```
 
 1. To update the workspace to use the compute cluster to build Docker images. Replace `docs-ml-rg` with your resource group. Replace `docs-ml-ws` with your workspace. Replace `cpu-cluster` with the compute cluster to use:
     
-    [!INCLUDE [cli v1](../../includes/machine-learning-cli-v1.md)]
-
     ```azurecli-interactive
     az ml workspace update \
         -g docs-ml-rg \