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Create a LinkedService in Azure Machine Learning workspace.

Last updated: 26/05/2021

This template creates a LinkedService in an existing Azure Machine Learning workspace.

This Azure Resource Manager template was created by a member of the community and not by Microsoft. Each Resource Manager template is licensed to you under a licence agreement by its owner, not Microsoft. Microsoft is not responsible for Resource Manager templates provided and licensed by community members and does not screen for security, compatibility, or performance. Community Resource Manager templates are not supported under any Microsoft support programme or service, and are made available AS IS without warranty of any kind.


Parameter Name Description
amlWorkspaceName Name of the existing AML workspace to create the linked service.
linkName Name of the LinkedService
synapseWorkspaceResourceId ResourceId of the existing Synapse workspace which you want to link to the aml workspace by linked service.
sparkPools Spark pools you want to attach to the aml workspace, in such format: [ {"computeName":"compute1", "poolName":"sparkPool1"}, ... ]. Pool name is the name of spark pool shown in Synapse workspace, while compute name is the alias for this pool after it is attached to aml workspace.
location Location(aka region) of the LinkedService

Use the template


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
Install and configure Azure PowerShell

Command line

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
Install and Configure the Azure Cross-Platform Command-Line Interface