You create an Azure Machine Learning workspace. You use Azure Machine Learning designer to create a pipeline within the workspace. You need to submit a pipeline run from the designer.
You know, I was thinking the same thing. Creating an attached compute resource sounds like the right way to go. That's like setting up the infrastructure before you can run anything.
Hmm, this is a tricky one. I think we need to create a compute cluster first before we can submit a pipeline run. That's the foundation we need to get started.
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