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AI-900: How to split a dataset for training and validation

Learn how to use the Split Data module in the Azure Machine Learning designer to create a training dataset and validation dataset from an existing dataset for the AI-900: Microsoft Azure AI Fundamentals certification exam.

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?

A. Select Columns in Dataset
B. Add Rows
C. Split Data
D. Join Data

Answer

C. Split 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

The correct answer is C. Split Data. This module allows you to split a dataset into two subsets based on a specified percentage or expression. You can use one subset for training and the other for validation. The other modules do not perform this function.

A. Select Columns in Dataset: This module allows you to select specific columns from a dataset and create a new dataset with only those columns. B. Add Rows: This module allows you to append rows from one dataset to another dataset and create a new dataset with the combined rows. D. Join Data: This module allows you to join two datasets based on a common key and create a new dataset with the joined columns.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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