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AI-900: Azure Machine Learning Designer: Split Data Model for Binary Classification Model Training Pipeline

Learn how to use Azure Machine Learning Designer’s Split Data model to create a training pipeline for a binary classification model. Splitting data into training and testing sets is essential to ensure that the model is not overfitting or underfitting the data.

Question

You are using Azure Machine Learning designer to create a training pipeline for a binary classification model.At some point, you want to separate the data into training and testing sets. Which model should you add to the pipeline?

A. Join data
B. Split data
C. Select columns in dataset

Answer

B. Split data

Explanation

If you want to separate the data into training and testing sets while creating a training pipeline for a binary classification model using Azure Machine Learning designer, you should add the Split Data model to the pipeline. The Split Data model is used to split the dataset into two parts: one for training the model and the other for testing the model. This model is used to ensure that the model is not overfitting or underfitting the data.

The Join Data model is used to combine two datasets into one. The Select Columns in Dataset model is used to select specific columns from a dataset. Therefore, neither of these models would be appropriate for separating the data into training and testing sets.

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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