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MLS-C01 · Question #129
MLS-C01 Question #129: Real Exam Question with Answer & Explanation
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Data Engineering
Question
A data scientist wants to use Amazon Forecast to build a forecasting model for inventory demand for a retail company. The company has provided a dataset of historic inventory demand for its products as a .csv file stored in an Amazon S3 bucket. The table below shows a sample of the dataset. How should the data scientist transform the data?
Options
- AUse ETL jobs in AWS Glue to separate the dataset into a target time series dataset and an item
- BUse a Jupyter notebook in Amazon SageMaker to separate the dataset into a related time series
- CUse AWS Batch jobs to separate the dataset into a target time series dataset, a related time
- DUse a Jupyter notebook in Amazon SageMaker to transform the data into the optimized protobuf
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Topics
#Amazon Forecast#Data Transformation#ETL#AWS Glue