MLS-C01 practice question 33 of 35
[Data Engineering] A data scientist uses Amazon SageMaker Data Wrangler to define and perform transformations and feature engineering on historical…
Choose your answer, then check it against the explanation.
[Data Engineering]
A data scientist uses Amazon SageMaker Data Wrangler to define and perform transformations and
feature engineering on historical dat
a. The data scientist saves the transformations to SageMaker Feature Store.
The historical data is periodically uploaded to an Amazon S3 bucket. The data scientist needs to
transform the new historic data and add it to the online feature store The data scientist needs to
prepare the .....historic data for training and inference by using native integrations.
Which solution will meet these requirements with the LEAST development effort?
Question 33 of 35
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