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AWS Certified Data Engineer Associate DEA-C01 Practice Question

A telecom company uploads 10 MB compressed log files every minute from 50 network devices to a dedicated Amazon S3 prefix. The data engineering team wants each file to be processed automatically as soon as it lands, and they must occasionally rerun the pipeline on an entire previous day when the transformation logic changes. Which data ingestion pattern best meets these requirements while minimizing operational overhead?

  • Low-latency streaming ingestion using Amazon Kinesis Data Streams

  • Stateless request/response ingestion through a synchronous REST API

  • Scheduled hourly batch ingestion that scans the prefix for new files

  • Event-driven micro-batch ingestion from S3 that triggers processing for each new object and supports backfill from stored files

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