Which parameter sweep mode should you use?

You create a binary classification model by using Azure Machine Learning Studio.
You must tune hyperparameters by performing a parameter sweep of the model. The parameter sweep must meet the following requirements: iterate all possible combinations of hyperparameters minimize computing resources required to perform the sweep
You need to perform a parameter sweep of the model.
Which parameter sweep mode should you use?
A. Random sweep
B. Sweep clustering
C. Entire grid
D. Random grid
E. Random seed

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