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Enable encryption at rest for Azure Machine Learning

Larry Franks 提供
上次更新日期: 2021/5/12

A template that creates a new Azure Machine Learning workspace. Optionally, you can enable encryption for data at rest in the workspace, and data stored by the workspace in Azure Cosmos DB.

此 Azure Resource Manager (ARM) 範本是由社群成員 (而非 Microsoft) 建立。每個 ARM 範本都是由其擁有者 (而非 Microsoft) 依據授權合約授權給您。Microsoft 並不負責社群成員所提供和授權的 ARM 範本,而不會為了安全性、相容性或效能進行篩選。社群 ARM 範本並未依據任何 Microsoft 支援方案或服務提供支援,而且會在沒有任何擔保的情況下依現況提供。

參數

參數名稱 說明
workspaceName Specifies the name of the Azure Machine Learning workspace.
location Specifies the location for all resources.
sku Specifies the sku, also referred to as 'edition' of the Azure Machine Learning workspace.
confidential_data Specifies that the Azure Machine Learning workspace holds highly confidential data.
encryption_status Specifies if the Azure Machine Learning workspace should be encrypted with the customer managed key.
cmk_keyvault_id Specifies the customer managed keyvault Resource Manager ID.
resource_cmk_uri Specifies the customer managed keyvault key uri.

使用範本

PowerShell

New-AzResourceGroup -Name <resource-group-name> -Location <resource-group-location> #use this command when you need to create a new resource group for your deployment
New-AzResourceGroupDeployment -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-encrypted-workspace/azuredeploy.json
安裝和設定 Azure PowerShell

命令列

az group create --name <resource-group-name> --location <resource-group-location> #use this command when you need to create a new resource group for your deployment
az group deployment create --resource-group <my-resource-group> --template-uri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-encrypted-workspace/azuredeploy.json
安裝和設定 Azure 跨平台命令列介面