AI-900 Question #11: Real Exam Question with Answer & Explanation

The correct answer is C: Split Data. A common way of evaluating a model is to divide the data into a training and test set by using Split Data, and then validate the model on the training data. Use the Split Data module to divide a dataset into two distinct sets. The studio currently supports training/validation dat

Submitted by katya_ua· Mar 30, 2026Describe fundamental principles of machine learning on Azure

Question

You need to create a training dataset and validation dataset from an existing dataset. Which module in the Azure Machine Learning designer should you use?

Options

ASelect Columns in Dataset
BAdd Rows
CSplit Data
DJoin Data

Explanation

A common way of evaluating a model is to divide the data into a training and test set by using Split Data, and then validate the model on the training data. Use the Split Data module to divide a dataset into two distinct sets. The studio currently supports training/validation data splits Reference: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-configure-cross-validation-data-

Topics

#Azure ML Designer#Dataset preparation#Data splitting

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