Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 233 discussion

Exam question from Amazon's AWS Certified Data Engineer - Associate DEA-C01

Question #: 233
Topic #: 1

[All AWS Certified Data Engineer - Associate DEA-C01 Questions]

An ecommerce company processes millions of orders each day. The company uses AWS Glue ETL to collect data from multiple sources, clean the data, and store the data in an Amazon S3 bucket in CSV format by using the S3 Standard storage class. The company uses the stored data to conduct daily analysis.

The company wants to optimize costs for data storage and retrieval.

Which solution will meet this requirement?

A. Transition the data to Amazon S3 Glacier Flexible Retrieval.
B. Transition the data from Amazon S3 to an Amazon Aurora cluster.
C. Configure AWS Glue ETL to transform the incoming data to Apache Parquet format.
D. Configure AWS Glue ETL to use Amazon EMR to process incoming data in parallel.

Show Suggested Answer

Suggested Answer: C 🗳️

by rdiaz at July 4, 2025, 4:57 a.m.

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rdiaz

1 month, 2 weeks ago

Selected Answer: C

Apache Parquet is a columnar storage format that is highly efficient for analytics workloads: • Reduces storage costs because it compresses data better than CSV. • Improves query performance by reading only relevant columns. • Since the company runs daily analytics, using a format optimized for analytical queries (like Parquet) significantly reduces I/O and compute costs. • It works seamlessly with services like Athena, Redshift Spectrum, and EMR.

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