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NEW QUESTION: 1
A customer wants two VIO Servers in the CEO of a proposed Power 720. To provide redundancy for the IBM V7000 SAN they will utilize to provision disk for his client partitions.
What is the minimum required to make this possible?
A. A 6-disk storage backplane
B. An 8-disk storage backplane
C. An 8-disk storage backplane and the split drive bay feature
D. A 6-disk storage backplane and the split drive bay feature
Answer: D

NEW QUESTION: 2
What is the default tree for MSRN and Handover?
A. 0
B. 1
C. 2
D. 3
Answer: C

NEW QUESTION: 3


Answer:
Explanation:

NEW QUESTION: 4
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 XGBoost model 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 DeepAR algorithm to forecast demand for the new product.
D. Train an Amazon SageMaker k-means clustering algorithm to forecast demand for the new product.
Answer: C
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.
https://docs.aws.amazon.com/sagemaker/latest/dg/deepar.html