AWS Certified Data Engineer Associate DEA-C01 Practice Question

A data engineering team uses an Amazon Redshift cluster as its enterprise data warehouse. Each night they must execute a series of DELETE, INSERT, and UPDATE statements that include conditional branching and loop logic to consolidate staging data into fact tables. The team wants to keep all processing inside the cluster and trigger the workflow with a single SQL call. Which Amazon Redshift feature meets these requirements?

  • Develop an AWS Glue ETL job that connects to the cluster and runs the SQL script from an external Python shell.

  • Schedule an automatic materialized view refresh that encapsulates the required transformations.

  • Configure Amazon EventBridge to run each SQL statement through the Amazon Redshift Data API on a fixed schedule.

  • Create a stored procedure in Amazon Redshift using PL/pgSQL and invoke it with a CALL statement each night.

AWS Certified Data Engineer Associate DEA-C01
Data Operations and Support
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