Designing and Implementing a Data Science Solution on Azure — Question 15

You are creating a machine learning model. You have a dataset that contains null rows.
You need to use the Clean Missing Data module in Azure Machine Learning Studio to identify and resolve the null and missing data in the dataset.
Which parameter should you use?

Answer options

• A. Replace with mean
• B. Remove entire column
• C. Remove entire row
• D. Hot Deck
• E. Custom substitution value
• F. Replace with mode

Correct answer: C

Explanation

The correct answer is C, 'Remove entire row', as this option effectively eliminates rows that contain null values, ensuring the dataset is clean for analysis. Options A, B, D, E, and F do not address the removal of null rows specifically; instead, they either replace values or remove columns, which does not fulfill the requirement of handling null rows.