AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 178

An ML engineer is building a model to predict house and apartment prices. The model uses three features: Square Meters, Price, and Age of Building. The dataset has 10,000 data rows. The data includes data points for one large mansion and one extremely small apartment. The ML engineer must perform preprocessing on the dataset to ensure that the model produces accurate predictions for the typical house or apartment. Which solution will meet these requirements?