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Question 639 - SAA-C03 discussion

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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 that is hosted on AWS to look 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 sending the devices back to AWS.

Which solution will meet these requirements?

A.
Create an Amazon S3 bucket. Import the data into the S3 bucket. Configure an AWS Storage Gateway file gateway to use the S3 bucket. Access the file gateway from the HPC cluster instances.
Answers
A.
Create an Amazon S3 bucket. Import the data into the S3 bucket. Configure an AWS Storage Gateway file gateway to use the S3 bucket. Access the file gateway from the HPC cluster instances.
B.
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.
Answers
B.
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.
C.
Create an Amazon S3 bucket and an Amazon Elastic File System (Amazon EFS) file system. Import the data into the S3 bucket. Copy the data from the S3 bucket to the EFS file system. Access the EFS file system from the HPC cluster instances.
Answers
C.
Create an Amazon S3 bucket and an Amazon Elastic File System (Amazon EFS) file system. Import the data into the S3 bucket. Copy the data from the S3 bucket to the EFS file system. Access the EFS file system from the HPC cluster instances.
D.
Create an Amazon FSx for Lustre file system. Import the data directly into the FSx for Lustre file system. Access the FSx for Lustre file system from the HPC cluster instances.
Answers
D.
Create an Amazon FSx for Lustre file system. Import the data directly into the FSx for Lustre file system. Access the FSx for Lustre file system from the HPC cluster instances.
Suggested answer: B

Explanation:

To provide the HPC cluster with consistent sub-millisecond latency and high-throughput access to the data on the Snowball Edge Storage Optimized devices, a solutions architect should configure an Amazon FSx for Lustre file system, and integrate it with an Amazon S3 bucket. This solution has the following benefits:

It allows the HPC cluster to access the data on the Snowball Edge devices using a POSIX-compliant file system that is optimized for fast processing of large datasets1.

It enables the data to be imported from the Snowball Edge devices into the S3 bucket using the AWS Snow Family Console or the AWS CLI2.The data can then be accessed from the FSx for Lustre file system using the S3 integration feature3.

It supports high availability and durability of the data, as the FSx for Lustre file system can automatically copy the data to and from the S3 bucket3.The data can also be accessed from other AWS services or applications using the S3 API4.

1: https://aws.amazon.com/fsx/lustre/

2: https://docs.aws.amazon.com/snowball/latest/developer-guide/using-adapter.html

3: https://docs.aws.amazon.com/fsx/latest/LustreGuide/create-fs-linked-data-repo.html

4: https://docs.aws.amazon.com/fsx/latest/LustreGuide/export-data-repo.html

asked 16/09/2024
Arkadius Thoma
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