AWS Certified Data Engineer Associate DEA-C01 Practice Question

An on-premises manufacturing system writes 200 GB of CSV sensor files to a NAS share every hour. The analytics team must ingest all files to Amazon S3 once per day for downstream processing. The solution should minimize operations, automatically retry failed transfers, and preserve files for audit. Which approach is most cost-effective and aligns with AWS best practices for batch ingestion?

Install the Kinesis Agent on the NAS server to continuously stream the files to an Amazon Kinesis Data Firehose delivery stream configured for S3.
Deploy an AWS DataSync agent on-premises and schedule a daily task to copy the NAS share to an S3 bucket with data integrity verification enabled.
Establish a Site-to-Site VPN, mount an Amazon EFS file system on-premises, and copy the files directly to EFS each day.
Run a daily AWS Database Migration Service full-load task to migrate the files into Amazon S3 using an S3 endpoint.

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Answer Description

AWS DataSync is designed for periodic, high-throughput transfers between on-premises storage and Amazon S3. A DataSync agent can be deployed on-premises and a task can be scheduled to run daily. The service performs incremental copy, uses built-in compression, verifies data integrity with checksums, and automatically retries failed transfers, reducing operational effort and cost. Kinesis Data Firehose and its agent are optimized for continuous streaming, which adds unnecessary cost and complexity for a once-per-day load. Copying to Amazon EFS over VPN introduces ongoing network and file-system management overhead and is not intended as an ingestion target for large, one-time daily transfers. AWS Database Migration Service is built for database replication; although it can write to S3, it is not intended for moving arbitrary files from a NAS share and would require additional transformation steps.

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