AWS Certified Data Engineer Associate DEA-C01 Practice Question

An e-commerce company stores its daily sales metrics as partitioned Parquet files in Amazon S3. Business analysts must build interactive dashboards that refresh hourly, support ad-hoc filtering, and must not require the data engineering team to provision or manage servers. Users are authenticated through Amazon Cognito. Which approach meets the requirements with the least operational overhead?

  • Create an Amazon Redshift cluster, load the Parquet data with the COPY command, and connect Amazon QuickSight in direct-query mode.

  • Schedule AWS Glue DataBrew jobs to generate visual charts and publish them as static HTML pages in Amazon S3.

  • Configure Amazon QuickSight to query the S3 data through an Athena data source, enable SPICE for hourly refreshes, and share dashboards with Cognito-authenticated users.

  • Launch an Amazon EMR cluster running Presto to serve the data and deploy an open-source visualization tool on Amazon ECS for analysts.

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