AWS Certified Cloud Practitioner
Get started today
Ultimate access to all questions.
Deep dive into the quiz with AI chat providers.
We prepare a focused prompt with your quiz and certificate details so each AI can offer a more tailored, in-depth explanation.
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?
Exam-Like
Community
RRitesh
A
Text data
B
Image data
C
Time series data
D
Binary data
Explanation:
Explanation
The correct answer is C. Time series data because:
- Amazon SageMaker DeepAR is specifically designed for time series forecasting problems.
- Time series data consists of observations collected at regular time intervals (daily, weekly, monthly, etc.), which is exactly what's needed for demand forecasting.
- Demand prediction for retail products involves analyzing historical sales patterns over time to forecast future demand.
- The other options are incorrect:
- A. Text data: Used for natural language processing tasks, not forecasting
- B. Image data: Used for computer vision tasks, not time-based predictions
- D. Binary data: Typically used for classification problems, not sequential forecasting
DeepAR algorithm requires time series data as input, where each time series represents historical demand for a specific product, and it uses this sequential data to make probabilistic forecasts for future time periods.
Comments
Loading comments...