Microsoft Azure AI Fundamentals AI-900 Practice Question

To prevent the model from using too much data at once - This is incorrect. Splitting datasets does not aim to limit data usage. Instead, it ensures proper assessment of model performance and generalization.

To evaluate the model’s ability to generalize to new data - This is the correct answer. The validation dataset is used to assess a model’s performance on unseen data, ensuring it generalizes well beyond the training data.

To increase accuracy by training on multiple subsets - This is incorrect. Splitting the data is not meant to increase accuracy but to validate the model’s performance on a separate dataset.

To simplify the model by reducing the number of features - This is incorrect. Dataset splitting does not reduce the number of features but partitions the data for training and evaluation purposes.