AWS Certified Data Engineer Associate DEA-C01 Practice Question

A logistics company streams 50,000 vehicle telemetry records per second into AWS. The application must read the latest records for a given vehicle ID in less than 5 ms, automatically purge data older than 7 days, and retain the expired data in Amazon S3 for long-term analytics. Which storage configuration best meets these access and retention requirements with the least operational overhead?

  • Insert the records into an Amazon RDS PostgreSQL database with a composite primary key; schedule a daily DELETE job for aged rows and export snapshots to S3.

  • Load the data into an Amazon Redshift cluster, run a nightly DELETE on rows older than 7 days, and UNLOAD the deleted data to S3 for retention.

  • Store the records in a DynamoDB table with vehicleId as the partition key and timestamp as the sort key, enable DynamoDB TTL for 7 days, and use DynamoDB export to Amazon S3 for archive.

  • Deliver the stream directly to Amazon S3 using Kinesis Data Firehose, query recent data with Amazon Athena, and apply an S3 Lifecycle rule to transition objects after 7 days.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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