AWS Certified Data Engineer Associate DEA-C01 Practice Question

Every day at 02:00 UTC, a healthcare company must ingest the previous day's CSV file from an Amazon S3 bucket into a staging table in Amazon Redshift. The team wants a fully managed, serverless solution that minimizes cost and ongoing administration while reliably running at the scheduled time. Which approach best meets these requirements?

  • Deploy an Amazon Managed Workflows for Apache Airflow (MWAA) environment and schedule a DAG that issues a Redshift COPY command for the file in S3.

  • Launch a transient Amazon EMR cluster each night that runs a Spark job to copy the file from S3 to Redshift, then terminates the cluster.

  • Configure an Amazon Kinesis Data Firehose delivery stream with a Lambda transformation to send data to Redshift and enable the stream at 02:00 UTC using the AWS CLI.

  • Create a cron-based Amazon EventBridge rule that starts an AWS Glue ETL job, which reads the CSV file from S3 and writes it to Amazon Redshift.

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