Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

A data engineering team launches a transient Amazon EMR cluster each night through an AWS Step Functions workflow. Before any Spark job runs, the cluster must have a proprietary JDBC driver installed on every node. After installation, a PySpark ETL script stored in Amazon S3 must be executed. What is the most operationally efficient way to meet these requirements using native EMR scripting capabilities?

  • Configure a bootstrap action that downloads and installs the driver on all nodes, then add an EMR step that runs spark-submit on the PySpark script in Amazon S3.

  • Schedule an EMR Notebook that first installs the driver with pip commands and then executes the PySpark code, triggered nightly by a cron expression.

  • Build a custom AMI with the driver pre-installed and specify the PySpark ETL through classification properties when creating the cluster.

  • Pass a shell script to a Hadoop Streaming step that both installs the driver and calls the PySpark script in a single command.

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