SAA-C03 · Question #171
A company plans to use AWS to run high-performance computing (HPC) workloads and analytics workloads. The company will run HPC workloads on Amazon EC2 instances. The workloads require a…
The correct answer is B. Use Amazon FSx for Lustre as a high-performance file system. E. Create an Auto Scaling group of Amazon EC2 instances. Use a mix of On-Demand Instances. Option B (Amazon FSx for Lustre): FSx for Lustre is optimized for high-performance file systems required by HPC workloads, scaling to millions of IOPS and supporting parallelized data access. Option E (Cluster Placement Group with Auto Scaling): A cluster placement group…
Question
A company plans to use AWS to run high-performance computing (HPC) workloads and analytics workloads. The company will run HPC workloads on Amazon EC2 instances. The workloads require a high-performance file system that can scale to millions of input/output operations per second (IOPS). Which combination of steps will meet these requirements? (Select TWO.)
Options
- AUse Amazon Elastic File System (Amazon EFS) as a high-performance file system.
- BUse Amazon FSx for Lustre as a high-performance file system.
- CCreate an Auto Scaling group of Amazon EC2 instances. Use Reserved Instances. Configure a
- DUse Mountpoint for Amazon S3 as a high-performance file system.
- ECreate an Auto Scaling group of Amazon EC2 instances. Use a mix of On-Demand Instances,
How the community answered
(29 responses)- A21% (6)
- B62% (18)
- C7% (2)
- D10% (3)
Explanation
Option B (Amazon FSx for Lustre): FSx for Lustre is optimized for high-performance file systems required by HPC workloads, scaling to millions of IOPS and supporting parallelized data access. Option E (Cluster Placement Group with Auto Scaling): A cluster placement group ensures low- latency communication between EC2 instances, critical for HPC workloads. Amazon EMR simplifies running large-scale analytics jobs.
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