MLS-C01 Web TestEngine Demo

Q50 Single choice

A digital media company wants to build a customer churn prediction model by using tabular data. The model should clearly indicate whether a customer will stop using the company's services. The company wants to clean the data because the data contains some empty fields, duplicate values, and rare values.

Which solution will meet these requirements with the LEAST development effort?

A
Use SageMaker Canvas to automatically clean the data and to prepare a categorical model.
B
Use SageMaker Data Wrangler to clean the data. Use the built-in SageMaker XGBoost algorithm to train a classification model.
C
Use SageMaker Canvas automatic data cleaning and preparation tools. Use the built-in SageMaker XGBoost algorithm to train a regression model.
D
Use SageMaker Data Wrangler to clean the data. Use the SageMaker Autopilot to train a regression model

MLS-C01 Web TestEngine demo