DRAG DROP You are managing an Azure Machine Learning workspace. You must tune a hyperparameter for a neural network model. The learning rate must be a continuous hyperparameter between 0.001 and 0.1. The batch size can be 32.64. or 128. You need to select the appropriate search space for each parameter. Which search space should you use? To answer, move the appropriate search spaces to the correct hyperparameters. You may use each search space option once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point. 
Had something like this in a mock. The sequence should be: set up the local endpoint environment, run and debug the scoring script locally, then fix and retest before redeploying to Azure. Pretty sure about this order since you need to catch script errors before cloud deployment. If someone did it differently, let me know.
