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AWS Certified Data Engineer Associate DEA-C01 Practice Question

A healthcare company must ingest transactional data from its on-premises Oracle database into AWS for analytics. Compliance rules require that every change made to any record be preserved for at least 7 years. After the initial migration, the company wants to minimize network usage by sending only incremental changes while keeping the full history in Amazon S3 for downstream processing. Which solution MOST cost-effectively meets these requirements?

  • Configure AWS DMS to replicate the tables into an Amazon Aurora PostgreSQL cluster and rely on automated backups retained for 7 years.

  • Use AWS DMS to run a full load followed by ongoing CDC to Amazon S3, outputting Parquet files partitioned by commit timestamp.

  • Schedule an AWS Glue Spark job to query the entire Oracle table each night and overwrite the results in a single S3 prefix.

  • Stream the changes through Amazon Kinesis Data Streams and use Kinesis Data Analytics to upsert records into an Amazon DynamoDB table with on-demand capacity.

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