The validation dataset is used during model training to evaluate the model's performance and tune hyperparameters, helping to prevent overfitting. It provides feedback on how well the model generalizes to unseen data during training and allows adjustments to improve the model. The other options are incorrect because they describe the roles of the training and test datasets rather than the validation dataset.
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Microsoft Azure AI Fundamentals AI-900
Describe Fundamental Principles of Machine Learning on Azure
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