MLS-C01 · Question #355
MLS-C01 Question #355: Real Exam Question with Answer & Explanation
Sign in or unlock MLS-C01 to reveal the answer and full explanation for question #355. The question stem and answer options stay visible for context.
Question
A machine learning (ML) specialist at a manufacturing company uses Amazon SageMaker DeepAR to forecast input materials and energy requirements for the company. Most of the data in the training dataset is missing values for the target variable. The company stores the training dataset as JSON files. The ML specialist develop a solution by using Amazon SageMaker DeepAR to account for the missing values in the training dataset. Which approach will meet these requirements with the LEAST development effort?
Options
- AImpute the missing values by using the linear regression method. Use the entire dataset and the
- BReplace the missing values with not a number (NaN). Use the entire dataset and the encoded
- CImpute the missing values by using a forward fill. Use the entire dataset and the imputed values
- DImpute the missing values by using the mean value. Use the entire dataset and the imputed
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.