AWS Certified Data Engineer Associate DEA-C01 Practice Question

An organization needs to build a nightly batch pipeline that transfers data from an on-premises MySQL database to Amazon S3 in a format directly queryable by Amazon Athena. Only rows that have changed since the previous run should be moved to minimize transfer and storage costs. Which AWS DMS task configuration meets these requirements with the LEAST operational overhead?

  • Create an AWS DMS task that performs a full load followed by ongoing CDC to an Amazon S3 target endpoint configured to output Apache Parquet files.

  • Run a nightly mysqldump on the source database, transfer the dump to Amazon S3 with AWS DataSync, and query the files in Athena with a CSV SerDe.

  • Schedule a daily AWS DMS task that runs in full-load-only mode and overwrites the previous day's data in Amazon S3 using CSV format.

  • Replicate the MySQL tables to Amazon Redshift with AWS DMS, then run nightly UNLOAD commands to export the data to S3 in Parquet format.

AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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