A company wants to use machine learning (ML) to improve its customer churn prediction model. The company stores data in an Amazon Redshift data warehouse. A data science team wants to use Amazon Redshift machine learning (Amazon Redshift ML) to build a model and run predictions for new data directly within the data warehouse. Which combination of steps should the company take to use Amazon Redshift ML to meet these requirements? (Choose three.)

Topic #: - All AWS Certified Machine Learning - Specialty Questions

A. Define the feature variables and target variable for the churn prediction model.
B. Use the SOL EXPLAIN_MODEL function to run predictions.
C. Write a CREATE MODEL SQL statement to create a model.
D. Use Amazon Redshift Spectrum to train the model.
E. Manually export the training data to Amazon S3.
F. Use the SQL prediction function to run predictions.

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