A large consumer goods manufacturer has the following products on sale: • 34 different toothpaste variants • 48 different toothbrush variants • 43 different mouthwash variants The entire sales history of all these products is available in Amazon S3. Currently, the company is using custom-built autoregressive integrated moving average (ARIMA) models to forecast demand for these products. The company wants to predict the demand for a new product that will soon be launched. Which solution should a Machine Learning Specialist apply?
A) Train a custom ARIMA model to forecast demand for the new product.
B) Train an Amazon SageMaker DeepAR algorithm to forecast demand for the new product.
C) Train an Amazon SageMaker k-means clustering algorithm to forecast demand for the new product.
D) Train a custom XGBoost model to forecast demand for the new product.

Question

Quizplus · Accepted Answer

The Amazon SageMaker DeepAR algorithm is specifically designed for time series forecasting and can handle the introduction of new products by learning patterns from similar products.

A Large Consumer Goods Manufacturer Has the Following Products on Sale