Designing and Implementing a Data Science Solution on Azure — Question 54

This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements.
You are in the process of creating a machine learning model. Your dataset includes rows with null and missing values.
You plan to make use of the Clean Missing Data module in Azure Machine Learning Studio to detect and fix the null and missing values in the dataset.
Recommendation: You make use of the Remove entire row option.
Will the requirements be satisfied?

Answer options

Correct answer: A

Explanation

Using the Remove entire row option in the Clean Missing Data module effectively addresses the issue of null and missing values by eliminating any rows that contain them. This action ensures that the remaining dataset is clean and suitable for training the machine learning model. The alternative option, which suggests not using this method, would leave problematic rows in the dataset, potentially compromising the model's performance.