A company copies 200 TB of data from a recent ocean survey onto AWS Snowball Edge Storage Optimized devices. The company has a high performance computing (HPC) cluster hosted on AWS to search for oil and gas deposits. A solutions architect must provide the cluster with consistent sub-millisecond latency and high-throughput access to the data on the Snowball Edge Storage Optimized devices. The company is returning the devices to AWS. Which solution will meet these requirements?
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Correct answer: Create an Amazon S3 bucket. Import the data into the S3 bucket. Configure an Amazon FSx for Lustre file system, and integrate it with the S3 bucket. Access the FSx for Lustre file system from the HPC cluster instances..
Why this is the answer
The correct solution leverages Amazon FSx for Lustre, which is designed for high-performance computing (HPC) workloads requiring consistent sub-millisecond latency and high throughput. Integrating FSx for Lustre with an S3 bucket allows the 200 TB of data, imported from Snowball Edge, to be accessed by the HPC cluster. FSx for Lustre acts as a high-performance cache for S3, providing the necessary speed for the cluster. Option 1 (Storage Gateway file gateway) is incorrect because while it provides file access to S3, it doesn't offer the consistent sub-millisecond latency and high throughput required for HPC. Option 3 (EFS) is incorrect because EFS is a general-purpose file system, not optimized for the extreme performance demands of HPC, and it would involve an extra data copy step from S3 to EFS. Option 4 (Importing directly into FSx for Lustre) is incorrect because Snowball Edge data is imported into S3 first, not directly into FSx for Lustre. FSx for Lustre integrates with S3 as its data repository.
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