AWS Certified Data Engineer Associate DEA-C01 Practice Question

A data engineering team must ingest thousands of click-stream events per second from a public website, enrich each record, and store the results in Amazon S3. The solution must provide sub-second end-to-end latency, allow any record to be replayed when a downstream transformation fails, and minimize custom state management. Which approach best meets these requirements according to AWS best practices?

  • Configure an Amazon Kinesis Data Firehose delivery stream with data transformation enabled and an Amazon S3 destination.

  • Create an Amazon Kinesis Data Stream and use an AWS Glue streaming ETL job to read from the stream, enrich the records, and write the output to Amazon S3.

  • Send events to Amazon EventBridge, invoke an AWS Lambda function for enrichment, and write the results to Amazon S3.

  • Stream events directly to AWS Lambda using an Amazon Kinesis Data Stream event source mapping; the function enriches data and stores it in Amazon S3.

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