How can these requirements be met?
Deploy Amazon S3 Glacier Vault and enable expedited retrieval. Enable provisioned retrieval capacity for the workload.
Deploy AWS Storage Gateway using cached volumes. Use Storage Gateway to store data in Amazon S3 while retaining copies of frequently accessed data subsets locally.
Deploy AWS Storage Gateway using stored volumes to store data locally. Use Storage Gateway to asynchronously back up point-in-time snapshots of the data to Amazon S3.
Deploy AWS Direct Connect to connect with the on-premises data center. Configure AWS Storage Gateway to store data locally. Use Storage Gateway to asynchronously back up point-in-time snapshots of the data to Amazon S3.
Explanations:
Amazon S3 Glacier is designed for archival storage and has retrieval costs and latency associated with retrieving data. While expedited retrieval allows for faster access, it still incurs costs and does not meet the requirement for immediate retrieval at no additional cost.
AWS Storage Gateway using cached volumes allows frequently accessed data to be stored locally while archiving the rest in Amazon S3. This minimizes bandwidth costs by reducing data transfer and allows immediate access to frequently used data without additional retrieval fees.
AWS Storage Gateway using stored volumes would store all data locally and asynchronously back up to S3. This could lead to higher storage costs and does not provide the immediate access or cost-effectiveness for frequently accessed data, as retrieval incurs charges when accessing S3.
AWS Direct Connect facilitates a dedicated network connection, which can help with bandwidth costs but does not address immediate data retrieval needs. Also, using stored volumes would again lead to higher storage costs and does not fulfill the requirement for immediate access without additional costs.
I surmise that the answer is:
Deploy AWS Storage Gateway using cached volumes. Use Storage Gateway to store data in Amazon S3 while retaining copies of frequently accessed data subsets locally.
As far as I’m aware, the answer is:
Deploy AWS Storage Gateway using cached volumes. Use Storage Gateway to store data in Amazon S3 while retaining copies of frequently accessed data subsets locally.