DP-100 · Question #49
DP-100 Question #49: Real Exam Question with Answer & Explanation
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Question
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?
Options
- ARandom sweep
- BSweep clustering
- CEntire grid
- DRandom grid
- ERandom seed
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