solutions-architect video for a big data consulting firm needs to set up a data lake on Amazon S3 for a Health-Care client. The data lake is split in raw and
A big data consulting firm needs to set up a data lake on Amazon S3 for a Health-Care client. The data lake is split in raw and refined zones. For compliance reasons, the source data needs to be kept for a minimum of 5 years. The source data arrives in the raw zone and is then processed via an AWS Glue based extract, transform, and load (ETL) job into the refined zone. The business analysts run ad-hoc queries only on the data in the refined zone using Amazon Athena. The team is concerned about the cost of data storage in both the raw and refined zones as the data is increasing at a rate of 1 terabyte daily in each zone. As a solutions architect, which of the following would you recommend as the MOST cost-optimal solution? (Select two)