AWS Certified Solutions Architect – Associate (SAA-C03) — Question 424

A manufacturing company has machine sensors that upload .csv files to an Amazon S3 bucket. These .csv files must be converted into images and must be made available as soon as possible for the automatic generation of graphical reports.

The images become irrelevant after 1 month, but the .csv files must be kept to train machine learning (ML) models twice a year. The ML trainings and audits are planned weeks in advance.

Which combination of steps will meet these requirements MOST cost-effectively? (Choose two.)

Answer options

Correct answer: B, C

Explanation

AWS Lambda is the ideal choice for immediate, event-driven processing of uploaded .csv files, whereas an hourly EC2 Spot instance would introduce unacceptable delays. For long-term storage of the .csv files, transitioning them to S3 Glacier after one day is highly cost-effective because the semi-annual machine learning training events are planned weeks in advance, allowing ample time for Glacier retrieval. Using S3 Standard-IA or One Zone-IA would be more expensive for storing archival data that is only accessed twice a year.