DP-100 Question #255: Real Exam Question with Answer & Explanation

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 random sampling method over the hyperparameter space. Does the solution meet the goal?

Options

• AYes
• BNo

Explanation

Random sampling supports continuous hyperparameters and can be combined with early termination policies to stop low-performing runs in a sweep job.

Concept tested. Hyperparameter sweep random sampling with early termination

Reference. 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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