Topic 1 Question 99
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?
Use AWS Glue job bookmarks to track the data for accuracy and consistency.
Create custom AWS Glue Data Quality rulesets to define specific data quality checks.
Use the built-in AWS Glue Data Quality transforms for standard data quality validations.
Use AWS Glue Data Catalog to maintain a centralized data schema and metadata repository.
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- 正解だと思う選択肢: B
B. Create custom AWS Glue Data Quality rulesets to define specific data quality checks.
Custom AWS Glue Data Quality rulesets allow you to define precise data quality checks tailored to your specific needs, ensuring that the data meets the required standards of accuracy and consistency. This approach provides flexibility to implement a wide range of validation rules based on your business requirements.
👍 4Ja132024/07/03 - 正解だと思う選択肢: B
This option provides the necessary flexibility to define and implement custom validation rules tailored to the company's specific requirements for data accuracy and consistency.
👍 3tgv2024/06/15 - 正解だと思う選択肢: B
Only B - makes sense
👍 2HunkyBunky2024/07/03
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