You manage an Azure Machine Learning $($ML$)$ workspace. You configure an automated machine learning $($AutoML$)$ run by using the Azure Machine Learning Python SDK v$2$ on a compute cluster.

The experiment must terminate if the score does not improve.

You need to configure fewer parallel trial runs than the number of compute nodes.

Which two actions should you perform? Each correct answer presents part of the solution.