Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

A company receives 10 GB of comma-separated value (CSV) files in an Amazon S3 bucket each night. A data engineer must convert the files to compressed, partitioned Apache Parquet format in the same bucket to lower Amazon Athena query costs while minimizing infrastructure management. Which solution meets these requirements with the LEAST operational overhead?

  • Deploy an Apache Spark application on Amazon EC2 instances started by a cron job that reads the CSV files and outputs Parquet files to S3.

  • Configure an Amazon S3 Event Notification to invoke an AWS Lambda function that reads each CSV file and writes an equivalent Parquet file back to S3.

  • Create an AWS Glue crawler to catalog the incoming CSV data and schedule an AWS Glue Spark ETL job to write the data as compressed, partitioned Parquet files to the same S3 bucket.

  • Launch an Amazon EMR cluster running Apache Hive, and use a daily Step Functions workflow to convert the CSV files to Parquet format in S3.

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