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DEA-C01 · Question #109

A retail company uses AWS Glue for extract, transform, and load (ETL) operations on a dataset that contains information about customer orders. The company wants to implement specific validation rules

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Data Ingestion and Transformation

Question

A retail company uses AWS Glue for extract, transform, and load (ETL) operations on a dataset that contains information about customer orders. The company wants to implement specific validation rules to ensure data accuracy and consistency. Which solution will meet these requirements?

Options

  • AUse AWS Glue job bookmarks to track the data for accuracy and consistency.
  • BCreate custom AWS Glue Data Quality rulesets to define specific data quality checks.
  • CUse the built-in AWS Glue Data Quality transforms for standard data quality validations.
  • DUse AWS Glue Data Catalog to maintain a centralized data schema and metadata repository.

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Topics

#AWS Glue#Data Quality#ETL#Data Validation
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