MDFT Academy Quizzes

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Set the validation type to auto is incorrect. The validation type setting controls how datasets are validated in the Azure cloud. This will not help to implement the transparency principle.
Enable the setting Explain Best Model is correct
Set the primary metric to accuracy is incorrect. Accuracy is a metric for evaluating classification models. Using the accuracy will not help to implement the transparency principle.
Set the max concurrent iterations to 0 is incorrect. This setting controls how many machine learning models can be trained in parallel in the cloud. This will not help to implement the transparency principle.

The setting Explain Best Model in the Azure cloud created a so-called explainable machine learning model that can explain how it generates its predictions. This makes AI predictions fully transparent. Explainable machine learning models are the foundation of the principles of responsible AI.

1. Introducing AI

What should you do?