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AWS Certified Data Engineer Associate DEA-C01 Practice Question

An e-commerce company collects mobile-game clickstream events at 10 MB/s. The data must land in an Amazon S3 data lake and simultaneously feed three independent services: sub-second fraud detection, a personalization microservice, and a daily Amazon EMR batch job. The solution must be fully managed, replayable for 24 hours, and auto-scaling without capacity planning. Which approach is MOST cost-effective?

  • Insert events into a DynamoDB table and enable DynamoDB Streams. Use a Lambda function to forward stream records to Amazon S3 and invoke the consumer services.

  • Provision an Amazon MSK cluster and publish the events to a Kafka topic. Have each consumer application subscribe to the topic and use Apache Flink on MSK to write the data to Amazon S3.

  • Create a Kinesis Data Stream in on-demand mode. Register three enhanced fan-out consumers: a fraud-detection Lambda function, a personalization microservice, and a Kinesis Data Firehose delivery stream that writes to Amazon S3.

  • Create a Kinesis Data Firehose delivery stream with a Lambda transformation. Configure S3 event notifications from the destination bucket to invoke the fraud and personalization services.

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