Q32 — AWS SAA-C03 Ch.6

Question 32 of 65 | ← Chapter 6

Q397. A solutions architect needs to host a high performance computing (HPC) workload in the AWS Cloud. The workload will run on hundreds of Amazon EC2 instances and will require parallel access to a shared file system to enable distributed processing of large datasets. Datasets will be accessed across multiple instances simultaneously.The workload requires access latency within 1 ms.After processing has completed, engineer will need access to the dataset for manual postprocessing.Which solution will meet these requirements?

• A. Use Amazon Elastic File System (Amazon EFS) as a shared file system Access the dataset from Amazon EFS.
• B. Mount an Amazon S3 bucket to serve as the shared file system Perform postprocessing directly from the S3 bucket
• C. Use Amazon FSx for Lustre as a shared file system.Link the file system to an Amazon S3 bucket for postprocessing. ✓
• D. Configure AWS Resource Access Manager to share an Amazon S3 bucket so that it can be mounted to all instances for processing and postprocessing

Correct Answer: C. Use Amazon FSx for Lustre as a shared file system.Link the file system to an Amazon S3 bucket for postprocessing.

Explanation

Amazon FSx for Lustre is a high-performance file system optimized for HPC workloads. It provides low- latency access to shared data across multiple instances simultaneously, which is ideal for parallel processing of large datasets. By linking the file system to an Amazon S3 bucket, you can easily transfer the processed data for postprocessing. This solution meets the requirement of accessing the dataset with latency within 1 ms and allows for efficient processing and postprocessing of the workload.