AWS Certified Machine Learning – Specialty — Question 82

A real estate company wants to create a machine learning model for predicting housing prices based on a historical dataset. The dataset contains 32 features.
Which model will meet the business requirement?

Answer options

• A. Logistic regression
• B. Linear regression
• C. K-means
• D. Principal component analysis (PCA)

Correct answer: B

Explanation

The correct choice is Linear regression, as it is specifically designed for predicting continuous outcomes like housing prices based on multiple features. Logistic regression is used for binary outcomes, K-means is a clustering algorithm and not suitable for prediction, while PCA is a dimensionality reduction technique, not a predictive model.