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Answer: Amazon S3 with S3 Lifecycle policies and S3 Glacier for long-term archiving.
Option A is the correct choice for this scenario. Amazon S3 is a highly scalable and durable object storage service that can store both structured and unstructured data. By using S3 Lifecycle policies, you can automatically transition data to different storage classes based on access patterns and lifecycle stages, optimizing costs for long-term storage. S3 Glacier is an ideal choice for long-term archiving, providing secure and cost-effective storage for data that is infrequently accessed. This combination of services meets the requirements for data retention, archiving, accessibility, and cost-effectiveness. While other options like RDS, Redshift, and DynamoDB have their use cases, they may not be as suitable for the specific needs of this scenario.
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You are responsible for designing a data storage solution for a company that has strict data retention and archiving requirements. The data includes both structured and unstructured data, and it needs to be accessible for analysis while also being cost-effective for long-term storage. Which AWS service or combination of services would you recommend, and explain your reasoning?
A
Amazon S3 with S3 Lifecycle policies and S3 Glacier for long-term archiving.
B
Amazon RDS with automated backups and long-term retention of snapshots.
C
Amazon Redshift with data warehouse snapshots and cross-region replication.
D
Amazon DynamoDB with on-demand capacity mode and point-in-time recovery.