MLS-C01 · Question #387
MLS-C01 Question #387: Real Exam Question with Answer & Explanation
Sign in or unlock MLS-C01 to reveal the answer and full explanation for question #387. The question stem and answer options stay visible for context.
Question
A manufacturing company produces 100 types of steel rods. The rod types have varying material grades and dimensions. The company has sales data for the steel rods for the past 50 years. A data scientist needs to build a machine learning (ML) model to predict future sales of the steel rods. Which solution will meet this requirement in the MOST operationally efficient way?
Options
- AUse the Amazon SageMaker DeepAR forecasting algorithm to build a single model for all the
- BUse the Amazon SageMaker DeepAR forecasting algorithm to build separate models for each
- CUse Amazon SageMaker Autopilot to build a single model for all the products.
- DUse Amazon SageMaker Autopilot to build separate models for each product.
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.