AWS Certified Data Engineer – Associate (DEA-C01) — 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?
Answer options
- A. Use AWS Glue job bookmarks to track the data for accuracy and consistency.
- B. Create custom AWS Glue Data Quality rulesets to define specific data quality checks.
- C. Use the built-in AWS Glue Data Quality transforms for standard data quality validations.
- D. Use AWS Glue Data Catalog to maintain a centralized data schema and metadata repository.
Correct answer: B
Explanation
The correct answer is B because creating custom AWS Glue Data Quality rulesets allows for tailored validation checks that meet the company's specific requirements for data accuracy and consistency. Option A focuses on tracking data rather than validating it, C provides standard validations which may not be specific enough, and D helps with schema and metadata management but does not address validation needs directly.