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Practice Test 3 | AWS Certified Solutions Architect Associate | SAA-C03 | Dumps | Mock Test

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A customer has a single 3-TB volume on-premises that is used to hold a large repository of images and print layout files. This repository is growing at 500GB a year and must be presented as a single logical volume. The customer is becoming increasing constrained with their local storage and wants to utilize the cloud to store the data, but the customer is concerned about latency when trying to access data stored in the cloud. Which AWS Storage Gateway configuration meets the customer requirements?

A. Gateway-Cached Volumes with snapshots scheduled to Amazon S3

B. Gateway-Stored Volumes with snapshots scheduled to Amazon S3

C. Gateway-Virtual Tape Library with snapshots to Amazon S3

D. Gateway-Virtual Tape Library with snapshots to Amazon Glacier

Explanation:

Answer – A

Gateway-cached volumes let you use Amazon Simple Storage Service (Amazon S3) as your primary data storage while retaining frequently accessed data locally in your storage gateway. Gateway-cached volumes minimize the need to scale your on-premises storage infrastructure, while still providing your applications with low-latency access to their frequently accessed data. You can create storage volumes up to 32 TiB in size and attach to them as iSCSI devices from your on-premises application servers. Your gateway stores data that you write to these volumes in Amazon S3 and retains recently read data in your on-premises storage gateway’s cache and upload buffer storage.

For more information on Storage Gateways, please visit the link:

 

Note: 

The two requirements of the question are low latency access to frequently accessed data and an offsite back up of the data.

  • Option A is correct because your primary data is written to S3 while retaining your frequently accessed data locally in a cache for low-latency access.
  • Option B is incorrect because it is storing the primary data locally (but we have a storage constraint hence this is not a viable solution) and your entire dataset is available for low-latency access while asynchronously backed up to AWS.
  • Options C & D are incorrect it cannot provide low latency access to frequently accessed data.

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