MLS-C01 · Question #244
MLS-C01 Question #244: Real Exam Question with Answer & Explanation
The correct answer is B: Use Amazon Forecast with Holidays featurization and the built-in DeepAR+ algorithm to train the. https://docs.aws.amazon.com/forecast/latest/dg/holidays.html https://docs.aws.amazon.com/whitepapers/latest/time-series-forecasting-principles-with-amazon- forecast/appendix-a-faqs.html
Question
A data scientist at a retail company is forecasting sales for a product over the next 3 months. After preliminary analysis, the data scientist identifies that sales are seasonal and that holidays affect sales. The data scientist also determines that sales of the product are correlated with sales of other products in the same category. The data scientist needs to train a sales forecasting model that incorporates this information. Which solution will meet this requirement with the LEAST development effort?
Options
- AUse Amazon Forecast with Holidays featurization and the built-in autoregressive integrated
- BUse Amazon Forecast with Holidays featurization and the built-in DeepAR+ algorithm to train the
- CUse Amazon SageMaker Processing to enrich the data with holiday information. Train the model
- DUse Amazon SageMaker Processing to enrich the data with holiday information. Train the model
Explanation
https://docs.aws.amazon.com/forecast/latest/dg/holidays.html https://docs.aws.amazon.com/whitepapers/latest/time-series-forecasting-principles-with-amazon- forecast/appendix-a-faqs.html
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