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AWS Certified Data Engineer Associate DEA-C01 Practice Question

An application writes daily Parquet files to Amazon S3 using the folder structure s3://sensor-data/sensor_date=YYYY-MM-DD/. Next week the development team will add a new optional column named reading_quality to the payload. Several analytics teams query the data through Amazon Athena and Amazon Redshift Spectrum by referencing an AWS Glue Data Catalog table. What is the most efficient way to make the new column available while keeping historical query performance and avoiding large-scale rewrites?

  • Write new partitions that contain the reading_quality column and alter the existing AWS Glue table to add the column as nullable.

  • Rewrite all historical Parquet files to include the reading_quality column, then refresh the Glue Data Catalog.

  • Create a second Glue table that includes the new column and have users UNION results from both tables when needed.

  • Convert the entire dataset to compressed CSV so that missing columns are ignored during scans.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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