Merge pull request #296 from Blackmist/291246-templates

removing document for security initiative.

Author: Stacyrch140

articles/machine-learning/.openpublishing.redirection.machine-learning.json

@@ -1,5 +1,10 @@
 {
     "redirections": [
+    {
+        "source_path_from_root": "/articles/machine-learning/tutorial-create-secure-workspace-template.md",
+        "redirect_url": "/azure/machine-learning/tutorial-create-secure-workspace",
+        "redirect_document_id": false
+    },
     {
         "source_path_from_root": "/articles/machine-learning/how-to-create-manage-compute-instance.md",
         "redirect_url": "/azure/machine-learning/how-to-create-compute-instance",

articles/machine-learning/concept-workspace.md

@@ -101,7 +101,7 @@ There are multiple ways to create a workspace. To get started, use one of the fo
 * Use the [VS Code extension](how-to-manage-resources-vscode.md#create-a-workspace) if you work in Visual Studio Code.
 
 To automate workspace creation using your preferred security settings:
-* [Azure Resource Manager / Bicep templates](how-to-create-workspace-template.md) provide a declarative syntax to deploy Azure resources. An alternative option is to use [Terraform](how-to-manage-workspace-terraform.md). Also see [How to create a secure workspace by using a template](tutorial-create-secure-workspace-template.md).
+* [Azure Resource Manager / Bicep templates](how-to-create-workspace-template.md) provide a declarative syntax to deploy Azure resources. An alternative option is to use [Terraform](how-to-manage-workspace-terraform.md). Also see the [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/) or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).
 :::moniker range="azureml-api-2"
 * Use the [Azure Machine Learning CLI](how-to-configure-cli.md) or [Azure Machine Learning SDK for Python](how-to-manage-workspace.md?tabs=python#create-a-workspace) for prototyping and as part of your [MLOps workflows](concept-model-management-and-deployment.md).
 :::moniker-end

articles/machine-learning/how-to-enable-studio-virtual-network.md

@@ -61,7 +61,7 @@ In this article, you learn how to:
 * An existing [Azure storage account added your virtual network](v1/how-to-secure-workspace-vnet.md#secure-azure-storage-accounts).
 :::moniker-end
 
-* To learn how to create a secure workspace, see [Tutorial: Create a secure workspace](tutorial-create-secure-workspace.md) or [Tutorial: Create a secure workspace using a template](tutorial-create-secure-workspace-template.md).
+* To learn how to create a secure workspace, see [Tutorial: Create a secure workspace](tutorial-create-secure-workspace.md), [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/), or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).
 
 ## Limitations
 

articles/machine-learning/how-to-high-availability-machine-learning.md

@@ -199,4 +199,4 @@ Even if your workspace can't be recovered, you might still be able to retrieve y
 
 ## Next steps
 
-To learn about repeatable infrastructure deployments with Azure Machine Learning, use an [Azure Resource Manager template](tutorial-create-secure-workspace-template.md).
+To learn about repeatable infrastructure deployments with Azure Machine Learning, use a [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/), or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).

articles/machine-learning/how-to-network-isolation-planning.md

@@ -50,7 +50,7 @@ This architecture balances your network security and your ML engineers' producti
 
 :::image type="content" source="media/how-to-network-isolation-planning/recommended-network-diagram.png" alt-text="Diagram of the recommended network architecture.":::
 
-You can automate this environments creation using [a template](tutorial-create-secure-workspace-template.md) without managed online endpoint or AKS. Managed online endpoint is the solution if you don't have an existing AKS cluster for your AI model scoring. See [how to secure online endpoint](how-to-secure-online-endpoint.md) documentation for more info. AKS with Azure Machine Learning extension is the solution if you have an existing AKS cluster for your AI model scoring. See [how to attach kubernetes](how-to-attach-kubernetes-anywhere.md) documentation for more info.
+You can automate this environments creation using a [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/) or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure). without managed online endpoint or AKS. Managed online endpoint is the solution if you don't have an existing AKS cluster for your AI model scoring. See [how to secure online endpoint](how-to-secure-online-endpoint.md) documentation for more info. AKS with Azure Machine Learning extension is the solution if you have an existing AKS cluster for your AI model scoring. See [how to attach kubernetes](how-to-attach-kubernetes-anywhere.md) documentation for more info.
 
 ### Removing firewall requirement
 

articles/machine-learning/how-to-network-security-overview.md

@@ -51,7 +51,7 @@ This article is part of a series on securing an Azure Machine Learning workflow.
 * [Use a firewall](how-to-access-azureml-behind-firewall.md)
 :::moniker-end
 
-For a tutorial on creating a secure workspace, visit the [Tutorial: Create a secure workspace](tutorial-create-secure-workspace.md) or [Tutorial: Create a secure workspace using a template](tutorial-create-secure-workspace-template.md) articles.
+For a tutorial on creating a secure workspace, visit the [Tutorial: Create a secure workspace](tutorial-create-secure-workspace.md), [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/), or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).
 
 ## Prerequisites
 

articles/machine-learning/how-to-private-endpoint-integration-synapse.md

@@ -30,7 +30,7 @@ In this article, learn how to securely integrate with Azure Machine Learning fro
     * Azure Key Vault
     * Azure Container Registry
 
-    A quick and easy way to build this configuration is to use a [Microsoft Bicep or HashiCorp Terraform template](tutorial-create-secure-workspace-template.md).
+    A quick and easy way to build this configuration is to use a [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/) or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).
 
 * An Azure Synapse workspace in a __managed__ virtual network, using a __managed__ private endpoint. For more information, see [Azure Synapse Analytics Managed Virtual Network](/azure/synapse-analytics/security/synapse-workspace-managed-vnet).
 

articles/machine-learning/how-to-registry-network-isolation.md

@@ -39,7 +39,7 @@ Using network isolation with private endpoints prevents the network traffic from
 
 The following diagram shows a basic network configuration and how the Azure Machine Learning registry fits in. If you're already using Azure Machine Learning workspace and have a secure workspace configuration where all the resources are part of virtual network, you can create a private endpoint from the existing virtual network to Azure Machine Learning registry and it's associated resources (storage and ACR).
 
-If you don't have a secure workspace configuration, you can create it using the [Create a secure workspace in Azure portal](tutorial-create-secure-workspace.md) or [Create a secure workspace with a template](tutorial-create-secure-workspace-template.md) articles.
+If you don't have a secure workspace configuration, you can create it using the [Create a secure workspace in Azure portal](tutorial-create-secure-workspace.md) article, [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/), or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).
 
 
 :::image type="content" source="./media/how-to-registry-network-isolation/basic-network-isolation-registry.png" alt-text="Diagram of registry connected to Virtual network containing workspace and associated resources using private endpoint.":::

articles/machine-learning/how-to-secure-inferencing-vnet.md

@@ -33,7 +33,7 @@ In this article, you learn how to secure inferencing environments (online endpoi
 > * [Use custom DNS](how-to-custom-dns.md)
 > * [Use a firewall](how-to-access-azureml-behind-firewall.md)
 >
-> For a tutorial on creating a secure workspace, see [Tutorial: Create a secure workspace](tutorial-create-secure-workspace.md) or [Tutorial: Create a secure workspace using a template](tutorial-create-secure-workspace-template.md).
+> For a tutorial on creating a secure workspace, see [Tutorial: Create a secure workspace](tutorial-create-secure-workspace.md), [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/), or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).
 
 ## Prerequisites
 

articles/machine-learning/how-to-secure-kubernetes-inferencing-environment.md

@@ -81,5 +81,6 @@ This article is part of a series on securing an Azure Machine Learning workflow.
 * [Use custom DNS](how-to-custom-dns.md)
 * [Use a firewall](how-to-access-azureml-behind-firewall.md)
 * [Tutorial: Create a secure workspace](tutorial-create-secure-workspace.md)
-* [Tutorial: Create a secure workspace using a template](tutorial-create-secure-workspace-template.md)
+* [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/)
+* [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).
 * [API platform network isolation](how-to-configure-network-isolation-with-v2.md)