AWS Certified Data Engineer - Associate DEA-C01 — Topic 1 Question 80

Question

A data engineer needs to build an extract, transform, and load (ETL) job. The ETL job will process daily incoming .csv files that users upload to an Amazon S3 bucket. The size of each S3 object is less than 100 MB. Which solution will meet these requirements MOST cost-effectively?

Accepted Answer

Correct answer: D. The correct answer is D. Option D: Write an AWS Glue Python shell job. Use pandas to transform the data. AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data. This option delivers the requirement at the lowest cost.

AWS Certified Data Engineer - Associate DEA-C01 — Question 80