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Advanced template for Azure Machine Learning workspace

Dernière mise à jour : 18/09/2020

A template that creates Azure Machine Learning workspace with private endpoints and resources behind VNET

Ce modèle ARM (Azure Resource Manager) a été créé par un membre de la communauté et non par Microsoft. Chaque modèle ARM vous est concédé sous licence sous un contrat de licence par son propriétaire, et non par Microsoft. Microsoft ne peut pas être tenu responsable des modèles ARM fournis et concédés sous licence par les membres de la communauté, ni ne vérifie leur sécurité, leur compatibilité ou leurs performances. Les modèles ARM de la communauté ne sont pris en charge par aucun programme ou service de support Microsoft. Ils sont rendus disponibles EN L'ÉTAT sans garantie d'aucune sorte.

Paramètres

Nom du paramètre Description
workspaceName Specifies the name of the Azure Machine Learning workspace.
location Specifies the location for all new resources.
sku Specifies the sku, also referred as 'edition' of the Azure Machine Learning workspace.
tagValues Tags for workspace, will also be populated if provisioning new dependent resources.
storageAccountOption Determines whether or not a new storage should be provisioned.
storageAccountName Name of the storage account.
storageAccountType (aucune description disponible)
storageAccountBehindVNet Determines whether or not to put the storage account behind VNet
storageAccountResourceGroupName Resource group name of the storage account if using existing one
keyVaultOption Determines whether or not a new key vault should be provisioned.
keyVaultName Name of the key vault.
keyVaultBehindVNet Determines whether or not to put the storage account behind VNet
keyVaultResourceGroupName Resource group name of the key vault if using existing one
applicationInsightsOption Determines whether or not new ApplicationInsights should be provisioned.
applicationInsightsName Name of ApplicationInsights.
applicationInsightsResourceGroupName Resource group name of the application insights if using existing one.
containerRegistryOption Determines whether or not a new container registry should be provisioned.
containerRegistryName The container registry bind to the workspace.
containerRegistrySku (aucune description disponible)
containerRegistryResourceGroupName Resource group name of the container registry if using existing one.
containerRegistryBehindVNet Determines whether or not to put container registry behind VNet.
vnetOption Determines whether or not a new VNet should be provisioned.
vnetName Name of the VNet
vnetResourceGroupName Resource group name of the VNET if using existing one.
vnetLocation Required if existing VNET location differs from workspace location
addressPrefixes Address prefix of the virtual network
subnetOption Determines whether or not a new subnet should be provisioned.
subnetName Name of the subnet
subnetPrefix Subnet prefix of the virtual network
adbWorkspace Azure Databrick workspace to be linked to the 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 customer managed key.
cmk_keyvault Specifies the customer managed keyVault arm id. Required when encryption is enabled
resource_cmk_uri Specifies if the customer managed keyvault key uri. Required when encryption is enabled
privateEndpointType (aucune description disponible)

Utiliser le modèle

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/201-machine-learning-advanced/azuredeploy.json
Installer et configurer Azure PowerShell

Ligne de commande

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/201-machine-learning-advanced/azuredeploy.json
Installer et configurer l'interface de ligne de commande multiplateforme Azure

Autres modèles par Guanyu Wang