Topic 1 Question 93
A retail store wants to predict the demand for a specific product for the next few weeks by using the Amazon SageMaker DeepAR forecasting algorithm.
Which type of data will meet this requirement?
Text data
Image data
Time series data
Binary data
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コメント(4)
- 正解だと思う選択肢: C
DeepAR and Time Series Data:
The Amazon SageMaker DeepAR forecasting algorithm is specifically designed to handle time series data for forecasting tasks. Time series data consists of observations collected at regular intervals over time (e.g., daily sales of a product). DeepAR uses historical patterns in this data to predict future values. Why Time Series Data is Required:
To predict product demand, the model needs past sales data (e.g., daily, weekly, or monthly), which is inherently time series data.
👍 2KevinKas2024/12/31 - 正解だと思う選択肢: C
C. Time series data
Explanation: The Amazon SageMaker DeepAR forecasting algorithm is specifically designed for time series forecasting, where the goal is to predict future values based on historical data.
👍 1aws_Tamilan2024/12/27 - 正解だと思う選択肢: C
The correct answer is C. DeepAR is specifically designed for processing and forecasting time series data.
👍 1may2021_r2024/12/28
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