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AWS Certified Data Engineer Associate DEA-C01 Practice Question

A retail company receives compressed CSV sales files from stores every hour. The files are uploaded to an Amazon S3 bucket in the prefix incoming/. The data engineering team must load each file into an Amazon Redshift staging table as soon as the file lands, without maintaining servers. The solution must guarantee that every file is ingested exactly once and should add the least possible operational overhead. Which architecture meets these requirements?

  • Set up an Amazon Kinesis Data Firehose delivery stream with the S3 bucket as the source and Amazon Redshift as the destination.

  • Configure an Amazon S3 Event Notification for ObjectCreated to invoke an AWS Glue workflow that runs a crawler and then a Glue job to COPY the file into Amazon Redshift.

  • Create an Amazon EventBridge rule that triggers an hourly AWS Glue job that scans the bucket and loads any new files into Amazon Redshift.

  • Deploy an AWS Lambda function invoked by S3 ObjectCreated events that reads the file and inserts the records into Amazon Redshift using the JDBC API.

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