Microsoft Azure AI Fundamentals — Question 141

You have a dataset.

You need to build an Azure Machine Learning classification model that will identify defective products.

What should you do first?

Answer options

• A. Load the dataset.
• B. Create a clustering model.
• C. Split the data into training and testing datasets.
• D. Create a classification model.

Correct answer: A

Explanation

The first step in building a classification model is to load the dataset, as it contains the necessary data for training the model. Without loading the dataset, you cannot proceed to create or split the model. Options B, C, and D are steps that occur after the dataset has been loaded.