Is the "Enrich a search index using Azure Machine Learning model" MS Learn exercise impossible to do with a Student Azure Subscription?

Question

In the "Create a regression training pipeline" section of the lab, you are required to "Create an inference cluster for the endpoint" so that you will be able to connect the Search AI index to the custom skill at that endpoint.
When you create the Kubernetes cluster (AksCompute), any VM size you select, (including the Standard_A2_v2 that the lab suggests) will fail to deploy if you're using an Azure for Students subscription. I get the error:
Status Code: 400 BadRequest Reason Phrase: Bad Request Response Body: { "code": "ErrCode_InsufficientVCPUQuota", "details": null, "message": "Insufficient vcpu quota requested 6, remaining 4 for family standardAv2Family for region uksouth.", "subcode": "" }
Even though the VM they suggest using says it should only take up 2 cores, the request is for 6, no matter what I tried. Copilot suggested it might be because of deploying multiple nodes, but I do not know how to check if that is the case. (It is my first encounter using kubernetes)

The Student Azure subscription has a maximum quota of 4 Standard Av2 Family vCPUs and it cannot be increased. Am I doing something wrong trying to deploy the kubernetes cluster or there is just no way to complete this lab with an Azure Student Subscription.

Answer 1

@Jacob Oros Student subscription quotas come with limited compute options and quotas that could hamper creating certain compute types. If you have chosen a certain compute type that is within your limits but if you still see an error, then it means that at the subscription level there might some other resource or compute that is running that is using up the quota. Try to delete any unused compute or endpoints that are running and try to check deploying after the delete.

As per my opinion, using a personal subscription under free tier limits might help for basic scenarios if you are just trying to complete a basic course. Thanks!!

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