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AWS Certified Data Engineer Associate DEA-C01 Practice Question

A retail company receives about 50 CSV files (≈5 GB total) in the s3://sales/daily/ prefix every night at 01:00 UTC. A data engineer must build a fully serverless ingestion pipeline that loads these files into an existing Amazon Redshift table, keeps each AWS Lambda invocation under the 15-minute limit, and minimizes the number of Lambda executions. Which solution meets these requirements?

  • Schedule an AWS Glue crawler to catalog the files, then trigger an AWS Glue ETL job that writes the data into Redshift over a JDBC connection.

  • Enable Amazon S3 event notifications on the prefix to trigger a Lambda function for every new object; the function inserts each record into Redshift with SQL INSERT statements.

  • Create an Amazon EventBridge rule that runs once daily at 02:00 UTC, invoking a Lambda function that issues a single COPY command to Amazon Redshift referencing the s3://sales/daily/ prefix.

  • Use Amazon S3 Batch Operations to invoke a Lambda function once per object; each invocation runs a COPY command that loads the individual file into Redshift.

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