AWS Certified Data Engineer Associate DEA-C01 Practice Question

An e-commerce company collects user activity as JSON events in Amazon Kinesis Data Streams. Each record must be enriched with reference data and written to Amazon S3 exactly once, even after job restarts. Which solution implements stateful transactions while requiring the least custom code?

  • Configure Kinesis Data Firehose with a Lambda transformation to enrich the data and deliver it to S3.

  • Send the events to an Amazon MSK topic and use a Lambda function running as a container image to poll, enrich, and write the data to S3.

  • Invoke an AWS Lambda function from the Kinesis stream with a batch of records; have the function enrich each record and upload it to S3.

  • Create an AWS Glue streaming ETL job that consumes the Kinesis stream, enables Spark checkpointing in Amazon S3, enriches the events, and writes the results to S3.

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