Azure Machine Learning - Deploy Model to Endpoint Issue (Quota)

Question

Hi, I am going through the Azure Machine Learning tutorials and went with the 'Get Started with Azure Machine Learning' one. https://learn.microsoft.com/en-gb/azure/machine-learning/tutorial-azure-ml-in-a-day?view=azureml-api-2

I have got most of the way through, have created the endpoint and am trying to deploy the model to the end point. However, I am getting an issue that I do not have enough Virtual Machine cores quota:

"HttpResponseError: (BadRequest) The request is invalid. Code: BadRequest Message: The request is invalid. Exception Details: (InferencingClientCreateDeploymentFailed) InferencingClient HttpRequest error, error detail: {"errors":{"VmSize":"Not enough quota available for Standard_DS3_v2 in SubscriptionId f0791b07-be59-4f95-ba02-bb61e0ab0e06. Current usage/limit: 0/6. Additional needed: 8 Please see troubleshooting guide, available here: [https://aka.ms/oe-tsg#error-outofquota"]},"type":"https://tools.ietf.org/html/rfc7231#section-6.5.1","title":"One"

From what I can tell in both the Azure Machine Learning Studio Quota Page and the message above, I am not using any standard_DS3_v2 and there are 6 available in my West-Europe region. And from what I understand that particular vm type is 4 cores. So why will it not deploy it and why does it tell me I require an additional 8 cores?

I am using 4 cores from another type for the command virtual machine and that seems to suggest I am using 4 of 20 for my subscription:

Does anyone have any idea about this, please?

It's a little demoralising when you're trying a tutorial and it just will not work. The tutorial does in fact reference *"# if you run into an out of quota error, change the instance_type to a comparable VM that is available. # Learn more on https://azure.microsoft.com/pricing/details/machine-learning/.*" - I've tried other VMs and get the same issue.