MLS-C01 · Question #60
MLS-C01 Question #60: Real Exam Question with Answer & Explanation
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Question
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?
Options
- ATrain a custom ARIMA model to forecast demand for the new product.
- BTrain an Amazon SageMaker DeepAR algorithm to forecast demand for the new product.
- CTrain an Amazon SageMaker k-means clustering algorithm to forecast demand for the new
- DTrain a custom XGBoost model to forecast demand for the new product.
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