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Microsoft

DP-100 · Question #343

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might…

The correct answer is B. No. To find a hyperparameter sampling method that supports early termination of low-performance jobs and continuous hyperparameters in Azure Machine Learning, Sobol sampling is not suitable.

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Question

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You have an Azure Machine Learning workspace. You plan to tune model hyperparameters by using a sweep job. You need to find a sampling method that supports early termination of low-performance jobs and continuous hyperparameters. Solution: Use the Sobol sampling method over the hyperparameter space. Does the solution meet the goal?

Options

  • AYes
  • BNo

How the community answered

(19 responses)
  • A
    21% (4)
  • B
    79% (15)

Why each option

To find a hyperparameter sampling method that supports early termination of low-performance jobs and continuous hyperparameters in Azure Machine Learning, Sobol sampling is not suitable.

AYes

Sobol sampling, while effective for continuous hyperparameters, does not support early termination of runs based on performance metrics.

BNoCorrect

Sobol sampling is a quasi-random sampling method primarily used for exploring the hyperparameter space efficiently. It does not inherently support early termination of low-performance runs, which is a feature of adaptive sampling methods like Bayesian or bandit policies applied to other sampling methods.

Concept tested: Azure ML hyperparameter sweep sampling methods

Source: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters?view=azureml-api-2&tabs=cli

Topics

#Azure Machine Learning#Hyperparameter tuning#Sweep job#Sampling methods

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