Amazon
MLA-C01 · Question #135
A company needs to perform feature engineering, aggregation, and data preparation. After the features are produced, the company must implement a solution on AWS to process and store the features. Whic
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Data Preparation for Machine Learning
Question
A company needs to perform feature engineering, aggregation, and data preparation. After the features are produced, the company must implement a solution on AWS to process and store the features. Which solution will meet these requirements?
Options
- AUse Amazon SageMaker Feature Processing to process and ingest the data. Use SageMaker
- BUse Amazon SageMaker Model Monitor to automatically ingest and transform the data. Create an
- CUse Amazon Managed Service for Apache Flink to transform the data and to ingest the data
- DUse an Amazon SageMaker batch transform job to analyze, transform, and ingest the data.
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Topics
#Feature Engineering#Data Preparation#SageMaker Feature Store#ML Data Storage