Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

A company stores click-stream events as partitioned Parquet files in Amazon S3. A data engineer must expose a view that returns, for each product category, the number of visits and a 7-day rolling average of visits, so that Amazon QuickSight can visualize traffic trends. The team wants a serverless and cost-effective solution without moving or transforming the source data. Which solution meets these requirements?

  • Use AWS Glue DataBrew to create a project that pivots by category, computes the rolling average, writes the result to S3, and refresh the dataset in QuickSight on a schedule.

  • Load the Parquet files into an Amazon Redshift provisioned cluster and run SQL queries that calculate the rolling average, then connect QuickSight to Redshift.

  • Spin up an Amazon EMR cluster with Apache Spark, run a daily batch job that aggregates the data into a new S3 bucket, and point QuickSight to the output.

  • Create an AWS Glue Data Catalog table over the S3 data and use Amazon Athena with a window function to compute the 7-day rolling average at query time.

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