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Exam DP-100 All Questions

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Exam DP-100 topic 3 question 177 discussion

Actual exam question from Microsoft's DP-100
Question #: 177
Topic #: 3
[All DP-100 Questions]

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.

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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?

  • A. Yes
  • B. No
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Suggested Answer: A 🗳️

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D0ktor
2 days, 1 hour ago
Selected Answer: A
Random sampling supports discrete and continuous hyperparameters. It supports early termination of low-performance jobs. Some users do an initial search with random sampling and then refine the search space to improve results. https://learn.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters?view=azureml-api-2
upvoted 1 times
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jefimija
4 weeks, 1 day ago
Selected Answer: B
it should be median stopping or bandit
upvoted 1 times
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