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DP-100 – Designing and Implementing a Data Science Solution on Azure

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Showing 19–20 of 20 questions

Question 19 (Mixed Questions)

You are solving a classification task.

You must evaluate your model on a limited data sample by using k-fold cross-validation. You start by configuring a k parameter as the number of splits.

You need to configure the k parameter for the cross-validation.

Which value should you use?

Select an option, then click Submit answer.

  • ○

    k=0.5
  • ○

    k=0.01
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    k=5
  • ○

    k=1
Question 20 (Mixed Questions)

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?

Select an option, then click Submit answer.

  • ○

    Random sweep
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    Sweep clustering
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    Entire grid
  • ○

    Random grid