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Exam AWS Certified Data Engineer - Associate DEA-C01 All Questions

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Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 158 discussion

Exam question from Amazon's AWS Certified Data Engineer - Associate DEA-C01
Question #: 158
Topic #: 1
[All AWS Certified Data Engineer - Associate DEA-C01 Questions]

A company has a data lake in Amazon S3. The company uses AWS Glue to catalog data and AWS Glue Studio to implement data extract, transform, and load (ETL) pipelines.

The company needs to ensure that data quality issues are checked every time the pipelines run. A data engineer must enhance the existing pipelines to evaluate data quality rules based on predefined thresholds.

Which solution will meet these requirements with the LEAST implementation effort?

  • A. Add a new transform that is defined by a SQL query to each Glue ETL job. Use the SQL query to implement a ruleset that includes the data quality rules that need to be evaluated.
  • B. Add a new Evaluate Data Quality transform to each Glue ETL job. Use Data Quality Definition Language (DQDL) to implement a ruleset that includes the data quality rules that need to be evaluated.
  • C. Add a new custom transform to each Glue ETL job. Use the PyDeequ library to implement a ruleset that includes the data quality rules that need to be evaluated.
  • D. Add a new custom transform to each Glue ETL job. Use the Great Expectations library to implement a ruleset that includes the data quality rules that need to be evaluated.
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Suggested Answer: B 🗳️
by emupsx1 at Nov. 25, 2024, 1:56 a.m.
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MerryLew
3 months, 1 week ago
Selected Answer: B
AWS Glue Data Quality works with Data Quality Definition Language (DQDL) to define data quality rules.
upvoted 1 times
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emupsx1
5 months ago
Selected Answer: B
https://docs.aws.amazon.com/glue/latest/dg/tutorial-data-quality.html
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