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Create an Azure Machine Learning service workspace.

Sidst opdateret: 15-09-2021

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.

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Parametre

Parameternavn Beskrivelse
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.

Brug skabelonen

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-workspace-cmk/azuredeploy.json
Installér og konfigurer Azure PowerShell

Kommandolinje

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-workspace-cmk/azuredeploy.json
Installér og konfigurer Azure-kommandolinjegrænsefladen til flere platforme

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