MLS-C01 · Question #346
MLS-C01 Question #346: Real Exam Question with Answer & Explanation
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Question
A developer at a retail company is creating a daily demand forecasting model. The company stores the historical hourly demand data in an Amazon S3 bucket. However, the historical data does not include demand data for some hours. The developer wants to verify that an autoregressive integrated moving average (ARIMA) approach will be a suitable model for the use case. How should the developer verify the suitability of an ARIMA approach?
Options
- AUse Amazon SageMaker Data Wrangler. Import the data from Amazon S3. Impute hourly missing
- BUse Amazon SageMaker Autopilot. Create a new experiment that specifies the S3 data location.
- CUse Amazon SageMaker Data Wrangler. Import the data from Amazon S3. Resample data by
- DUse Amazon SageMaker Autopilot. Create a new experiment that specifies the S3 data location.
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