DEA-C01 · Question #168
DEA-C01 Question #168: Real Exam Question with Answer & Explanation
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Question
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?
Options
- AAdd a new transform that is defined by a SQL query to each Glue ETL job. Use the SQL query to
- BAdd a new Evaluate Data Quality transform to each Glue ETL job. Use Data Quality Definition
- CAdd a new custom transform to each Glue ETL job. Use the PyDeequ library to implement a
- DAdd a new custom transform to each Glue ETL job. Use the Great Expectations library to
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