Topic 1 Question 369
A clothing company is experimenting with different colors and materials for its products. The company stores the entire sales history of all its products in Amazon S3. The company is using custom-built exponential smoothing (ETS) models to forecast demand for its current products. The company needs to forecast the demand for a new product variation that the company will launch soon.
Which solution will meet these requirements?
Train a custom ETS model.
Train an Amazon SageMaker DeepAR model.
Train an Amazon SageMaker К-means clustering model.
Train a custom XGBoost model.
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- 正解だと思う選択肢: B
A. No, porque un modelo ETS personalizado requiere historial del nuevo producto que no existe. B. Sí, porque DeepAR en SageMaker usa series relacionadas para predecir la demanda, incluso para nuevos productos. C. No, porque K-means es para agrupar datos, no para hacer predicciones de series temporales. D. No, porque XGBoost no está optimizado para pronósticos de series temporales en este caso.
👍 1italiancloud20252025/02/18
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