Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

An Amazon Redshift cluster holds several 4 TB fact tables. Each night the data team must copy only rows inserted in the last 24 hours to Amazon S3 as partitioned Parquet files for analytics. They want minimal custom code, no full-table exports, and to keep the cluster free for daytime queries. Which solution delivers the required nightly extract with the least operations work?

  • Invoke an AWS Lambda function nightly from Amazon EventBridge; the function runs UNLOAD commands with a WHERE last_update_time > current_date - 1 and copies the resulting files to S3.

  • Run an AWS Glue crawler each night against the Redshift cluster and configure it to export newly discovered partitions as Parquet files in S3.

  • Create an AWS Glue ETL job that reads the Redshift tables with a JDBC connection, enable job bookmarks on the last_update_time column, write the output to Amazon S3 as Parquet, and schedule the job nightly with Amazon EventBridge.

  • Use AWS Database Migration Service to perform a full load and continuous replication from Redshift to an S3 target endpoint configured for Parquet output.

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