You create an Azure Machine Learning compute cluster by using the following Azure Machine Learning Python SDK (v1) configuration code segment: compute_config = AmlCompute.provisioning_configuration(vm_size='STANDARD_DS12_V2', min_nodes=0, max_nodes=8, vm_prio Which statement is true about the compute cluster? The compute cluster can be used for GPU-based training of deep learning models. Virtual machines in the cluster can be preempted if a higher-priority workload requires the compute. The compute cluster always uses eight nodes for performing computations. You must use the computetarget.attach() method to attach the compute cluster to the experiment