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you can connect an Azure Machine Learning (ML) workspace to a SQL Server hosted on a Virtual Machine (VM) in a separate Virtual Network (VNet). Given that your ML workspace operates within a managed virtual network, you can utilize this network to set up the connection.
Here some steps:
- Make sure that the managed virtual network for your Azure ML workspace is correctly configured to communicate with the VNet where your SQL Server VM is located. This may require establishing VNet peering between the two VNets.
- Consider using a private endpoint for the SQL Server. This enables access to the SQL Server over a private IP address, which enhances security.
- Configure the firewall settings on the SQL Server VM to allow traffic from the Azure ML workspace's managed virtual network. You may need to specify the IP ranges or specific subnets.
- If the VNets are not peered, you might need to establish a secure connection between the two networks by setting up a VPN gateway or using ExpressRoute.
- In your Azure ML workspace notebook, make sure to use the correct connection string to connect to the SQL Server instance, ensuring that it points to the private endpoint if you have it set up.
Kindly refer below links: how-to-managed-network
Thank You.