DP-100 · Question #255
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The correct answer is A. Yes. Random sampling supports continuous hyperparameters and can be combined with early termination policies to stop low-performing runs in a sweep job.
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Options
- AYes
- BNo
How the community answered
(17 responses)- A76% (13)
- B24% (4)
Why each option
Random sampling supports continuous hyperparameters and can be combined with early termination policies to stop low-performing runs in a sweep job.
Random sampling in Azure Machine Learning sweep jobs allows exploration of continuous hyperparameter spaces and can be effectively combined with early termination policies (e.g., Bandit, Median stopping) to stop poorly performing runs, thus saving compute resources. This method is suitable for the stated requirements.
Concept tested: Hyperparameter sweep random sampling with early termination
Source: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters?view=azureml-api-2#choose-a-sampling-method
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