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A template that creates Azure Machine Learning workspace with private endpoints and resources behind VNET
Den här ARM-mallen (Azure Resource Manager) skapades av en community-medlem, inte av Microsoft. Varje ARM-mall licensieras till dig enligt ett licensavtal av respektive ägare, inte Microsoft. Microsoft ansvarar inte för ARM-mallar som erbjuds och licensieras av community-medlemmar och undersöker inte mallarnas säkerhet, kompatibilitet eller prestanda. Microsofts supportprogram och supporttjänster omfattar inte support för ARM-mallar från community-medlemmar, och dessa mallar tillhandahålls i BEFINTLIGT SKICK utan någon form av garanti.
Parametrar
| Parameternamn | Beskrivning |
|---|---|
| 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 | (ingen beskrivning är tillgänglig) |
| 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 | (ingen beskrivning är tillgänglig) |
| 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 | (ingen beskrivning är tillgänglig) |
Använda mallen
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 deploymentInstallera och konfigurera Azure PowerShell
New-AzResourceGroupDeployment -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/201-machine-learning-advanced/azuredeploy.json
Kommandoraden
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 deploymentInstallera och konfigurera Azures plattformsoberoende kommandoradsgränssnitt
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