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Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 99 discussion

Exam question from Amazon's AWS Certified Data Engineer - Associate DEA-C01
Question #: 99
Topic #: 1
[All AWS Certified Data Engineer - Associate DEA-C01 Questions]

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?

  • 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.
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Suggested Answer: B 🗳️
by tgv at June 15, 2024, 10:49 a.m.
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HunkyBunky
10 months ago
Selected Answer: B
Only B - makes sense
upvoted 2 times
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Ja13
10 months ago
Selected Answer: 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.
upvoted 4 times
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tgv
10 months, 3 weeks ago
Selected Answer: 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.
upvoted 3 times
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