AWS Certified Data Engineer - Associate DEA-C01 — Topic 1 Question 225

Question

A company builds a new data pipeline to process data for business intelligence reports. Users have noticed that data is missing from the reports. A data engineer needs to add a data quality check for columns that contain null values and for referential integrity at a stage before the data is added to storage. Which solution will meet these requirements with the LEAST operational overhead?

Accepted Answer

Correct answer: B. The correct answer is B. Option B: Use AWS Glue ETL jobs to perform a data quality evaluation transform on the data. Use an IsComplete rule on the requested columns. Use a ReferentialItegrity rule for each join. AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data.

AWS Certified Data Engineer - Associate DEA-C01 — Question 225