Azure 快速入門範本目前提供英文版
This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. The example shows how to configure Azure Machine Learning for encryption with a customer-managed encryption key.
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 |
---|---|
name | Specifies the name of the deployment. |
environment | Specifies the name of the environment. |
location | Specifies the location of the Azure Machine Learning workspace and dependent resources. |
hbi_workspace | Specifies whether to reduce telemetry collection and enable additional encryption. |
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. |
cmk_keyvault_key_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安裝和設定 Azure PowerShell
New-AzResourceGroupDeployment -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-cmk/azuredeploy.json
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安裝和設定 Azure 跨平台命令列介面
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-workspace-cmk/azuredeploy.json