MLS-C01 · Question #376
MLS-C01 Question #376: Real Exam Question with Answer & Explanation
Sign in or unlock MLS-C01 to reveal the answer and full explanation for question #376. The question stem and answer options stay visible for context.
Question
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.)
Options
- ADefine the feature variables and target variable for the churn prediction model.
- BUse the SQL EXPLAIN_MODEL function to run predictions.
- CWrite a CREATE MODEL SQL statement to create a model.
- DUse Amazon Redshift Spectrum to train the model.
- EManually export the training data to Amazon S3.
- FUse the SQL prediction function to run predictions.
Unlock MLS-C01 to see the answer
You've previewed enough free MLS-C01 questions. Unlock MLS-C01 for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.