AWS Certified Machine Learning – Specialty — Question 190

A newspaper publisher has a table of customer data that consists of several numerical and categorical features, such as age and education history, as well as subscription status. The company wants to build a targeted marketing model for predicting the subscription status based on the table data.

Which Amazon SageMaker built-in algorithm should be used to model the targeted marketing?

Answer options

• A. Random Cut Forest (RCF)
• B. XGBoost
• C. Neural Topic Model (NTM)
• D. DeepAR forecasting

Correct answer: B

Explanation

XGBoost is the most suitable algorithm for predicting subscription status due to its effectiveness in handling structured data and its ability to model complex relationships. Random Cut Forest (RCF) is primarily used for anomaly detection, Neural Topic Model (NTM) is designed for topic modeling in text data, and DeepAR forecasting is used for time series forecasting, making them less appropriate for this scenario.