Merge pull request #109144 from Blackmist/cli-note

adding text about selecting the subscription for your workspace.

Author: shawnmariejones

articles/machine-learning/how-to-change-storage-access-key.md

@@ -90,6 +90,8 @@ To update Azure Machine Learning to use the new key, use the following steps:
         az login
         ```
 
+        [!INCLUDE [select-subscription](../../includes/machine-learning-cli-subscription.md)]
+
     1. To update the workspace to use the new key, use the following command. Replace `myworkspace` with your Azure Machine Learning workspace name, and replace `myresourcegroup` with the name of the Azure resource group that contains the workspace.
 
         ```azurecli-interactive

articles/machine-learning/how-to-deploy-custom-docker-image.md

@@ -91,6 +91,8 @@ If you've already trained or deployed models using Azure Machine Learning, a con
 
     Follow the prompts to authenticate to the subscription.
 
+    [!INCLUDE [select-subscription](../../includes/machine-learning-cli-subscription.md)]
+
 2. Use the following command to list the container registry for the workspace. Replace `<myworkspace>` with your Azure Machine Learning workspace name. Replace `<resourcegroup>` with the Azure resource group that contains your workspace:
 
     ```azurecli-interactive

articles/machine-learning/how-to-manage-runs.md

@@ -29,7 +29,7 @@ This article shows examples of the following tasks:
 
 You'll need the following items:
 
-* An Azure subscription. If you don’t have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://aka.ms/AMLFree) today.
+* An Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://aka.ms/AMLFree) today.
 
 * An [Azure Machine Learning workspace](how-to-manage-workspace.md).
 
@@ -74,6 +74,8 @@ To start a run of your experiment, use the following steps:
     ```azurecli-interactive
     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/how-to-manage-workspace-cli.md

@@ -38,6 +38,8 @@ az login
 
 If the CLI can open your default browser, it will do so and load a sign-in page. Otherwise, you need to open a browser and follow the instructions on the command line. The instructions involve browsing to [https://aka.ms/devicelogin](https://aka.ms/devicelogin) and entering an authorization code.
 
+[!INCLUDE [select-subscription](../../includes/machine-learning-cli-subscription.md)]
+
 For other methods of authenticating, see [Sign in with Azure CLI](https://docs.microsoft.com/cli/azure/authenticate-azure-cli?view=azure-cli-latest).
 
 ## Install the machine learning extension

articles/machine-learning/how-to-set-up-training-targets.md

@@ -446,6 +446,8 @@ For more information, see the [ScriptRunConfig](https://docs.microsoft.com/pytho
 
 You can use [Azure CLI](https://docs.microsoft.com/cli/azure/install-azure-cli?view=azure-cli-latest) and [Machine Learning CLI extension](reference-azure-machine-learning-cli.md) to create run configurations and submit runs on different compute targets. The following examples assume that you have an existing Azure Machine Learning Workspace and you have logged in to Azure using `az login` CLI command. 
 
+[!INCLUDE [select-subscription](../../includes/machine-learning-cli-subscription.md)]
+
 ### Create run configuration
 
 The simplest way to create run configuration is to navigate the folder that contains your machine learning Python scripts, and use CLI command

articles/machine-learning/tutorial-train-deploy-model-cli.md

@@ -78,6 +78,8 @@ az login
 
 If the CLI can open your default browser, it will do so and load a sign-in page. Otherwise, you need to open a browser and follow the instructions on the command line. The instructions involve browsing to [https://aka.ms/devicelogin](https://aka.ms/devicelogin) and entering an authorization code.
 
+[!INCLUDE [select-subscription](../../includes/machine-learning-cli-subscription.md)]
+
 ## Install the machine learning extension
 
 To install the machine learning extension, use the following command:

includes/machine-learning-cli-subscription.md

@@ -0,0 +1,11 @@
+---
+author: Blackmist
+ms.service: machine-learning
+ms.topic: include
+ms.date: 03/26/2020
+ms.author: larryfr
+---
+
+After logging in, you see a list of subscriptions associated with your Azure account. The subscription information with `isDefault: true` is the currently activated subscription for Azure CLI commands. This subscription must be the same one that contains your Azure Machine Learning workspace. You can find the subscription ID from the [Azure portal](https://portal.azure.com) by visiting the overview page for your workspace. You can also use the SDK to get the subscription ID from the workspace object. For example, `Workspace.from_config().subscription_id`.
+    
+To select another subscription, use the [az account set](https://docs.microsoft.com/cli/azure/account#az-account-set) command with the subscription ID to switch to. For more information about subscription selection, see [Use multiple Azure Subscriptions](https://docs.microsoft.com/cli/azure/manage-azure-subscriptions-azure-cli?view=azure-cli-latest).