Merge pull request #273087 from fbsolo-ms1/update-data-science-virtual-machine-files

Freshness update for dsvm-tutorial-resource-manager.md . . .

Author: v-shils

articles/machine-learning/data-science-virtual-machine/dsvm-tutorial-resource-manager.md

@@ -1,25 +1,26 @@
 ---
 title: 'Quickstart: Create a Data Science VM - Resource Manager template'
 titleSuffix: Azure Data Science Virtual Machine
-description: In this quickstart, you use an Azure Resource Manager template to quickly deploy a Data Science Virtual Machine
+description: Learn how to use an Azure Resource Manager template to quickly deploy a Data Science Virtual Machine
 services: machine-learning
 author: s-polly
 ms.author: scottpolly
-ms.date: 06/10/2020
+ms.reviewer: franksolomon
+ms.date: 04/23/2024
 ms.topic: quickstart
 ms.service: data-science-vm
 ms.custom: subject-armqs, mode-arm, devx-track-arm-template
 ---
 
 # Quickstart: Create an Ubuntu Data Science Virtual Machine using an ARM template
 
-This quickstart will show you how to create an Ubuntu Data Science Virtual Machine using an Azure Resource Manager template (ARM template). Data Science Virtual Machines are cloud-based virtual machines preloaded with a suite of data science and machine learning frameworks and tools. When deployed on GPU-powered compute resources, all tools and libraries are configured to use the GPU.
+This quickstart shows how to create an Ubuntu Data Science Virtual Machine (DSVM) using an Azure Resource Manager template (ARM template). A Data Science Virtual Machines is a cloud-based resource, preloaded with a suite of data science and machine learning frameworks and tools. When deployed on GPU-powered compute resources, all tools and libraries are configured to use the GPU.
 
 [!INCLUDE [About Azure Resource Manager](../../../includes/resource-manager-quickstart-introduction.md)]
 
-If your environment meets the prerequisites and you're familiar with using ARM templates, select the **Deploy to Azure** button. The template will open in the Azure portal.
+If your environment meets the prerequisites and you know how to use ARM templates, select the **Deploy to Azure** button. This opens the template in the Azure portal.
 
-:::image type="content" source="~/reusable-content/ce-skilling/azure/media/template-deployments/deploy-to-azure-button.svg" alt-text="Button to deploy the Resource Manager template to Azure." border="false" link="https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure%2Fazure-quickstart-templates%2Fmaster%2Fapplication-workloads%2Fdatascience%2Fvm-ubuntu-DSVM-GPU-or-CPU%2Fazuredeploy.json":::
+:::image type="content" source="~/reusable-content/ce-skilling/azure/media/template-deployments/deploy-to-azure-button.svg" alt-text="Screenshot showing the button that deploys the Resource Manager template to Azure." border="false" link="https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure%2Fazure-quickstart-templates%2Fmaster%2Fapplication-workloads%2Fdatascience%2Fvm-ubuntu-DSVM-GPU-or-CPU%2Fazuredeploy.json":::
 
 ## Prerequisites
 
@@ -29,22 +30,22 @@ If your environment meets the prerequisites and you're familiar with using ARM t
 
 ## Review the template
 
-The template used in this quickstart is from [Azure Quickstart Templates](https://azure.microsoft.com/resources/templates/vm-ubuntu-DSVM-GPU-or-CPU/).
+You can find the template used in this quickstart at the [Azure Quickstart Templates](https://azure.microsoft.com/resources/templates/vm-ubuntu-DSVM-GPU-or-CPU/) resource.
 
 :::code language="json" source="~/quickstart-templates/application-workloads/datascience/vm-ubuntu-DSVM-GPU-or-CPU/azuredeploy.json":::
 
-The following resources are defined in the template:
+The template defines these resources:
 
 * [Microsoft.Network/networkInterfaces](/azure/templates/microsoft.network/networkinterfaces)
 * [Microsoft.Network/networkSecurityGroups](/azure/templates/microsoft.network/networksecuritygroups)
 * [Microsoft.Network/virtualNetworks](/azure/templates/microsoft.network/virtualnetworks)
 * [Microsoft.Network/publicIPAddresses](/azure/templates/microsoft.network/publicipaddresses)
 * [Microsoft.Storage/storageAccounts](/azure/templates/microsoft.storage/storageaccounts)
-* [Microsoft.Compute/virtualMachines](/azure/templates/microsoft.compute/virtualmachines): Create a cloud-based virtual machine. In this template, the virtual machine is configured as a Data Science Virtual Machine running Ubuntu.
+* [Microsoft.Compute/virtualMachines](/azure/templates/microsoft.compute/virtualmachines): Create a cloud-based virtual machine. In this template, the virtual machine is configured as a Data Science Virtual Machine that runs Ubuntu.
 
 ## Deploy the template
 
-To use the template from the Azure CLI, login and choose your subscription (See [Sign in with Azure CLI](/cli/azure/authenticate-azure-cli)). Then run:
+To use the template from the Azure CLI, sign in and choose your subscription (See [Sign in with Azure CLI](/cli/azure/authenticate-azure-cli)). Then run:
 
 ```azurecli-interactive
 read -p "Enter the name of the resource group to create:" resourceGroupName &&
@@ -59,31 +60,31 @@ echo "Press [ENTER] to continue ..." &&
 read
 ```
 
-When you run the above command, enter:
+When you run this code, enter:
 
-1. The name of the resource group you'd like to create to contain the DSVM and associated resources.
-1. The Azure location in which you wish to make the deployment.
-1. The authentication type you'd like to use (enter the string `password` or `sshPublicKey`).
-1. The login name of the administrator account (this value may not be `admin`).
-1. The value of the password or ssh public key for the account.
+1. The name of the resource group to contain the DSVM and associated resources that you'd like to create
+1. The Azure location where you want to make the deployment
+1. The authentication type you want to use (enter the string `password` or `sshPublicKey`)
+1. The login name of the administrator account (this value might not be `admin`)
+1. The value of the password or ssh public key for the account
 
 ## Review deployed resources
 
-To see your Data Science Virtual Machine:
+To display your Data Science Virtual Machine:
 
 1. Go to the [Azure portal](https://portal.azure.com)
-1. Sign in.
-1. Choose the resource group you just created.
+1. Sign in
+1. Choose the resource group you just created
 
-You'll see the Resource Group's information:
+This displays the Resource Group information:
 
-:::image type="content" source="media/dsvm-tutorial-resource-manager/resource-group-home.png" alt-text="Screenshot of a basic Resource Group containing a DSVM":::
+:::image type="content" source="media/dsvm-tutorial-resource-manager/resource-group-home.png" alt-text="Screenshot showing a basic Resource Group containing a DSVM":::
 
-Click on the Virtual Machine resource to go to its information page. Here you can find information on the VM, including connection details.
+Select the Virtual Machine resource to go to its information page. Here you can find information about the VM, including connection details.
 
 ## Clean up resources
 
-If you don't want to use this virtual machine, delete it. Since the DSVM is associated with other resources such as a storage account, you'll probably want to delete the entire resource group you created. You can delete the resource group using the portal by clicking on the **Delete** button and confirming. Or, you can delete the resource group from the CLI with:
+If you don't want to use this virtual machine, you should delete it. Since the DSVM is associated with other resources such as a storage account, you might want to delete the entire resource group you created. Using the portal, you can delete the resource group. Select the **Delete** button and then confirm your choice. You can also delete the resource group from the CLI as shown here:
 
 ```azurecli-interactive
 echo "Enter the Resource Group name:" &&