indents still not working

Author: sdgilley

articles/machine-learning/how-to-create-workspace-template.md

@@ -449,74 +449,74 @@ To deploy a workspace with existing associated resources you have to set the **v
 
 1. Enable service endpoints for the resources.
 
-  # [Azure CLI](#tab/azcli)
-    
-  [!INCLUDE [cli v1](../../includes/machine-learning-cli-v1.md)]
-    
-  ```azurecli
-  az network vnet subnet update --resource-group "examplegroup" --vnet-name "examplevnet" --name "examplesubnet" --service-endpoints "Microsoft.Storage"
-  az network vnet subnet update --resource-group "examplegroup" --vnet-name "examplevnet" --name "examplesubnet" --service-endpoints "Microsoft.KeyVault"
-  az network vnet subnet update --resource-group "examplegroup" --vnet-name "examplevnet" --name "examplesubnet" --service-endpoints "Microsoft.ContainerRegistry"
-  ```
+    # [Azure CLI](#tab/azcli)
+      
+    [!INCLUDE [cli v1](../../includes/machine-learning-cli-v1.md)]
 
-  # [Azure PowerShell](#tab/azpowershell)
+    ```azurecli
+    az network vnet subnet update --resource-group "examplegroup" --vnet-name "examplevnet" --name "examplesubnet" --service-endpoints "Microsoft.Storage"
+    az network vnet subnet update --resource-group "examplegroup" --vnet-name "examplevnet" --name "examplesubnet" --service-endpoints "Microsoft.KeyVault"
+    az network vnet subnet update --resource-group "examplegroup" --vnet-name "examplevnet" --name "examplesubnet" --service-endpoints "Microsoft.ContainerRegistry"
+    ```
+        
+    # [Azure PowerShell](#tab/azpowershell)
+      
+    ```azurepowershell
+    Get-AzVirtualNetwork -ResourceGroupName "examplegroup" -Name "examplevnet" | Set-AzVirtualNetworkSubnetConfig -Name "examplesubnet" -AddressPrefix "<subnet prefix>" -ServiceEndpoint "Microsoft.Storage" | Set-AzVirtualNetwork
+    Get-AzVirtualNetwork -ResourceGroupName "examplegroup" -Name "examplevnet" | Set-AzVirtualNetworkSubnetConfig -Name "examplesubnet" -AddressPrefix "<subnet prefix>" -ServiceEndpoint "Microsoft.KeyVault" | Set-AzVirtualNetwork
+    Get-AzVirtualNetwork -ResourceGroupName "examplegroup" -Name "examplevnet" | Set-AzVirtualNetworkSubnetConfig -Name "examplesubnet" -AddressPrefix "<subnet prefix>" -ServiceEndpoint "Microsoft.ContainerRegistry" | Set-AzVirtualNetwork
+    ```
     
-  ```azurepowershell
-  Get-AzVirtualNetwork -ResourceGroupName "examplegroup" -Name "examplevnet" | Set-AzVirtualNetworkSubnetConfig -Name "examplesubnet" -AddressPrefix "<subnet prefix>" -ServiceEndpoint "Microsoft.Storage" | Set-AzVirtualNetwork
-  Get-AzVirtualNetwork -ResourceGroupName "examplegroup" -Name "examplevnet" | Set-AzVirtualNetworkSubnetConfig -Name "examplesubnet" -AddressPrefix "<subnet prefix>" -ServiceEndpoint "Microsoft.KeyVault" | Set-AzVirtualNetwork
-  Get-AzVirtualNetwork -ResourceGroupName "examplegroup" -Name "examplevnet" | Set-AzVirtualNetworkSubnetConfig -Name "examplesubnet" -AddressPrefix "<subnet prefix>" -ServiceEndpoint "Microsoft.ContainerRegistry" | Set-AzVirtualNetwork
-  ```
-
-  ---
+    ---
 
 1. Deploy the workspace
 
-  # [Azure CLI](#tab/azcli)
-  
-  [!INCLUDE [cli v1](../../includes/machine-learning-cli-v1.md)]
-  
-  ```azurecli
-  az deployment group create \
-  --name "exampledeployment" \
-  --resource-group "examplegroup" \
-  --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" \
-  --parameters workspaceName="exampleworkspace" \
-    location="eastus" \
-    vnetOption="existing" \
-    vnetName="examplevnet" \
-    vnetResourceGroupName="examplegroup" \
-    storageAccountBehindVNet="true" \
-    keyVaultBehindVNet="true" \
-    containerRegistryBehindVNet="true" \
-    containerRegistryOption="new" \
-    containerRegistrySku="Premium" \
-    subnetName="examplesubnet" \
-    subnetOption="existing"
-    privateEndpointType="AutoApproval"
-  ```
-  
-  # [Azure PowerShell](#tab/azpowershell)
-  
-  ```azurepowershell
-  New-AzResourceGroupDeployment `
-    -Name "exampledeployment" `
-    -ResourceGroupName "examplegroup" `
-    -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" `
-    -workspaceName "exampleworkspace" `
-    -location "eastus" `
-    -vnetOption "existing" `
-    -vnetName "examplevnet" `
-    -vnetResourceGroupName "examplegroup" `
-    -storageAccountBehindVNet "true"
-    -keyVaultBehindVNet "true" `
-    -containerRegistryBehindVNet "true" `
-    -containerRegistryOption "new" `
-    -containerRegistrySku "Premium" `
-    -subnetName "examplesubnet" `
-    -subnetOption "existing"
-    -privateEndpointType "AutoApproval"
-  ```
-  ---
+    # [Azure CLI](#tab/azcli)
+    
+    [!INCLUDE [cli v1](../../includes/machine-learning-cli-v1.md)]
+    
+    ```azurecli
+    az deployment group create \
+    --name "exampledeployment" \
+    --resource-group "examplegroup" \
+    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" \
+    --parameters workspaceName="exampleworkspace" \
+      location="eastus" \
+      vnetOption="existing" \
+      vnetName="examplevnet" \
+      vnetResourceGroupName="examplegroup" \
+      storageAccountBehindVNet="true" \
+      keyVaultBehindVNet="true" \
+      containerRegistryBehindVNet="true" \
+      containerRegistryOption="new" \
+      containerRegistrySku="Premium" \
+      subnetName="examplesubnet" \
+      subnetOption="existing"
+      privateEndpointType="AutoApproval"
+    ```
+    
+    # [Azure PowerShell](#tab/azpowershell)
+    
+    ```azurepowershell
+    New-AzResourceGroupDeployment `
+      -Name "exampledeployment" `
+      -ResourceGroupName "examplegroup" `
+      -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" `
+      -workspaceName "exampleworkspace" `
+      -location "eastus" `
+      -vnetOption "existing" `
+      -vnetName "examplevnet" `
+      -vnetResourceGroupName "examplegroup" `
+      -storageAccountBehindVNet "true"
+      -keyVaultBehindVNet "true" `
+      -containerRegistryBehindVNet "true" `
+      -containerRegistryOption "new" `
+      -containerRegistrySku "Premium" `
+      -subnetName "examplesubnet" `
+      -subnetOption "existing"
+      -privateEndpointType "AutoApproval"
+    ```
+    ---
 
 <!-- Workspaces need a private endpoint when associated resources are behind a virtual network to work properly. To set up a private endpoint for the workspace with an existing virtual network: