Updating AML 201 readme
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@ -6,13 +6,15 @@ and its associated resources including Azure Key Vault, Azure Storage, Azure App
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In addition to these core services, this configuration specifies any networking components that are required to set up Azure Machine Learning
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for private network connectivity using [Azure Private Link](https://docs.microsoft.com/en-us/azure/private-link/).
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This configuration describes the minimal set of resources you require to get started with Azure Machine Learning in a network-isolated set-up. This configuration creates new network components. If you want to reuse existing network components, see [202 example](../201-machine-learning-moderately-secure/readme.md).
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This configuration describes the minimal set of resources you require to get started with Azure Machine Learning in a network-isolated set-up. This configuration creates new network components. Use Azure Bastion to securely connect to the Windows Data Science Virtual Machine. If you want to reuse existing network components, see [202 example](../201-machine-learning-moderately-secure/readme.md).
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## Resources
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| Terraform Resource Type | Description |
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| - | - |
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| `azurerm_resource_group` | The resource group all resources get deployed into |
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| `azurerm_bastion_host` | An Azure Bastion Instance to securely RDP/SSH into Virtual Machines deployed into the Virtual Network |
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| `azurerm_windows_virtual_machine` | A Windows Data Science Virtual Machine used for connecting to the Azure Machine Learning workspace |
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| `azurerm_application_insights` | An Azure Application Insights instance associated to the Azure Machine Learning workspace |
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| `azurerm_key_vault` | An Azure Key Vault instance associated to the Azure Machine Learning workspace |
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| `azurerm_storage_account` | An Azure Storage instance associated to the Azure Machine Learning workspace |
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@ -39,6 +41,9 @@ This configuration describes the minimal set of resources you require to get sta
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| aks_subnet_address_space | Address space of the aks subnet | ["10.0.2.0/23"] |
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| ml_subnet_address_space | Address space of the ML workspace subnet | ["10.0.0.0/24"] |
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| image_build_compute_name | Name of the compute cluster to be created and configured for building docker images (Azure ML Environments) | image-builder |
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| dsvm_name | Name of the Windows Data Science VM resource | vmdsvm01 |
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| dsvm_admin_username | Admin username of the Windows Data Science VM | azureadmin |
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| dsvm_host_password | Password for the admin username of the Data Science VM | - |
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## Usage
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