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NEW QUESTION: 1
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 an Amazon SageMaker DeepAR algorithm to forecast demand for the new product
B. Train a custom ARIMA model 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
Answer: A
Explanation:
Explanation
The Amazon SageMaker DeepAR forecasting algorithm is a supervised learning algorithm for forecasting scalar (one-dimensional) time series using recurrent neural networks (RNN). Classical forecasting methods, such as autoregressive integrated moving average (ARIMA) or exponential smoothing (ETS), fit a single model to each individual time series. They then use that model to extrapolate the time series into the future.

NEW QUESTION: 2
The ProxySG gives you the ability to write policies through.
A. Visual Policy Manager only
B. the graphical visual Policy Manager, the command-line interface and/or imported text file
C. the graphical visual Policy Manager and/or the command-line interface
Answer: B

NEW QUESTION: 3

A. Option B
B. Option C
C. Option A
D. Option D
Answer: A

NEW QUESTION: 4

A. Option C
B. Option A
C. Option B
D. Option D
Answer: B