MLS-C01 · Question #186
MLS-C01 Question #186: Real Exam Question with Answer & Explanation
Sign in or unlock MLS-C01 to reveal the answer and full explanation for question #186. The question stem and answer options stay visible for context.
Question
A power company wants to forecast future energy consumption for its customers in residential properties and commercial business properties. Historical power consumption data for the last 10 years is available. A team of data scientists who performed the initial data analysis and feature selection will include the historical power consumption data and data such as weather, number of individuals on the property, and public holidays. The data scientists are using Amazon Forecast to generate the forecasts. Which algorithm in Forecast should the data scientists use to meet these requirements?
Options
- AAutoregressive Integrated Moving Average (AIRMA)
- BExponential Smoothing (ETS)
- CConvolutional Neural Network - Quantile Regression (CNN-QR)
- DProphet
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.