Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

An application writes 2 TB of structured transactional data as comma-separated files to an S3 bucket each day. Analysts query the data with Amazon Athena and experience long runtimes and high scan charges. A data engineer will add a nightly AWS Glue Spark job to transform the data. Which transformation will best address the volume characteristics while retaining the relational schema?

  • Compress the existing CSV files with Gzip and remove all header rows.

  • Convert the files to Apache Parquet, apply Snappy compression, and partition the dataset by transaction_date.

  • Split each CSV file into chunks no larger than 128 MB to increase Athena parallelism.

  • Merge all daily CSV files into a single uncompressed file to reduce S3 object overhead.

AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
Your Score:
Settings & Objectives
Random Mixed
Questions are selected randomly from all chosen topics, with a preference for those you haven’t seen before. You may see several questions from the same objective or domain in a row.
Rotate by Objective
Questions cycle through each objective or domain in turn, helping you avoid long streaks of questions from the same area. You may see some repeat questions, but the distribution will be more balanced across topics.

Check or uncheck an objective to set which questions you will receive.

Wipe Score
Bash, the Crucial Exams Chat Bot
AI Bot