While creating a binary classification model in azure video

Full Certification Question

While creating a binary classification model in Azure Machine Learning Studio, you plan to tune hyperparameters via a parameter sweep. Your objectives are to iterate over all possible combinations of hyperparameters and simultaneously minimize computing resource usage. What approach should you adopt for this parameter sweep?