first set

Author: sdgilley

articles/machine-learning/v1/media/tutorial-train-deploy-notebook/open-terminal.png renamed to articles/machine-learning/v1/media/samples-notebooks-v1/open-terminal.png

@@ -33,7 +33,11 @@ This article shows you how to access the repositories from the following environ
 
 ## Option 1: Access on Azure Machine Learning compute instance (recommended)
 
-The easiest way to get started with the samples is to complete the [Quickstart: Get started with Azure Machine Learning](../quickstart-create-resources.md). Once completed, you'll have a dedicated notebook server pre-loaded with the SDK and the Azure Machine Learning Notebooks repository. No downloads or installation necessary.
+The easiest way to get started with the samples is to complete the [Quickstart: Get started with Azure Machine Learning](../quickstart-create-resources.md). Once completed, you'll have a dedicated notebook server pre-loaded with the SDK.  The compute instance also has SDK v2 samples.  To get SDK v1 samples, clone the v1 repository.
+
+### Clone v1 repository
+
+[!INCLUDE [clone repo v1](../../../includes/machine-learning-clone-v1-repo.md)]
 
 ## Option 2: Access on your own notebook server
 

articles/machine-learning/v1/samples-notebooks-v1.md

@@ -39,30 +39,13 @@ Learn how to take the following actions:
 
 Azure Machine Learning includes a cloud notebook server in your workspace for an install-free and pre-configured experience. Use [your own environment](../how-to-configure-environment.md#local) if you prefer to have control over your environment, packages, and dependencies.
 
-
 ## Clone a notebook folder
 
 You complete the following experiment setup and run steps in Azure Machine Learning studio. This consolidated interface includes machine learning tools to perform data science scenarios for data science practitioners of all skill levels.
 
-1. Sign in to [Azure Machine Learning studio](https://ml.azure.com/).
-
-1. Select your subscription and the workspace you created.
-
-1. On the left, select **Notebooks**.
-
-1. Select the **Open terminal** tool to open a terminal window.
-
-    :::image type="content" source="media/tutorial-train-deploy-notebook/open-terminal.png" alt-text="Screenshot: Open terminal from Notebooks section.":::
+[!INCLUDE [clone repo v1](../../../includes/machine-learning-clone-v1-repo.md)]
 
-1. On the top bar, select the compute instance you created during the  [Quickstart: Get started with Azure Machine Learning](../quickstart-create-resources.md)  to use if it's not already selected.  Start the compute instance if it is stopped.
-
-1. In the terminal window, clone the MachineLearningNotebooks repository:
-
-    ```bash
-    git clone --depth 1  https://github.com/Azure/MachineLearningNotebooks
-    ```
 
-1. If necessary, refresh the list of files with the **Refresh** tool to see the newly cloned folder under your user folder.
 
 ## Open the cloned notebook
 

articles/machine-learning/v1/tutorial-train-deploy-notebook.md

@@ -0,0 +1,27 @@
+---
+author: sdgilley
+ms.service: machine-learning
+ms.topic: include
+ms.date: 09/28/2022
+ms.author: sgilley
+---
+
+1. Sign in to [Azure Machine Learning studio](https://ml.azure.com/).
+
+1. Select your subscription and the workspace you created.
+
+1. On the left, select **Notebooks**.
+
+1. Select the **Open terminal** tool to open a terminal window.
+
+    :::image type="content" source="../articles/machine-learning/v1/media/samples-notebooks-v1/open-terminal.png" alt-text="Screenshot: Open terminal from Notebooks section.":::
+
+1. On the top bar, select the compute instance you created during the  [Quickstart: Get started with Azure Machine Learning](../articles/machine-learning/quickstart-create-resources.md) to use if it's not already selected.  Start the compute instance if it is stopped.
+
+1. In the terminal window, clone the MachineLearningNotebooks repository:
+
+    ```bash
+    git clone --depth 1  https://github.com/Azure/MachineLearningNotebooks
+    ```
+
+1. If necessary, refresh the list of files with the **Refresh** tool to see the newly cloned folder under your user folder.