DEA-C01 · Question #235
DEA-C01 Question #235: Real Exam Question with Answer & Explanation
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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?
Options
- AUse Amazon SageMaker Data Wrangler to create a Data Quality and Insights report.
- BUse AWS Glue ETL jobs to perform a data quality evaluation transform on the data. Use an
- CUse AWS Glue ETL jobs to perform a SQL transform on the data to determine whether requested
- DUse Amazon SageMaker Data Wrangler and a custom Python transform to create custom rules to
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