Q81 — AWS SAA-C03 Ch.11
Question 81 of 100 | ← Chapter 11
Q781. 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.
- 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.
- 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. ✓
Correct Answer: 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.
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, the most suitable solution is: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.Amazon FSx for Lustre is a fully managed high-performance file system optimized for HPC workloads. It provides low-latency and high-throughput access to data, making it suitable for scenarios requiring consistent sub-millisecond latency and high-throughput access.By importing the data directly into the Amazon FSx for Lustre file system, you eliminate unnecessary data transfers and achieve efficient access to the data on the Snowball Edge Storage Optimized devices.Here's why the other options are not the most suitable choices:A. Creating an Amazon S3 bucket and configuring an AWS Storage Gateway file gateway: While Amazon S3 is durable and scalable, it may not provide the consistent sub-millisecond latency required for high-performance access. The use of an AWS Storage Gateway file gateway introduces additional layers of abstraction and may not offer the same level of performance as a dedicated file system.B. Creating an Amazon S3 bucket and configuring Amazon FSx for Lustre with S3 integration: While Amazon FSx for Lustre with S3 integration allows you to leverage S3 as a data source, it may not provide the same level of performance and low-latency access as importing the data directly into FSx for Lustre. It introduces additional complexity by integrating with S3 and may result in higher latency and reduced performance.C. Creating an Amazon S3 bucket and an Amazon Elastic File System (Amazon EFS) file system: Amazon EFS is a scalable and fully managed file system, but it may not provide the same level of performance and low-latency access as Amazon FSx for Lustre. Copying the data from the S3 bucket to the EFS file system adds extra steps and may introduce additional latency.Therefore, the most suitable solution to provide the HPC cluster with consistent sub-millisecond latency and high-throughput access to the data on the Snowball Edge Storage Optimized devices is: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.