AWS Certified Solutions Architect – Associate (SAA-C03) — Question 285

A research laboratory needs to process approximately 8 TB of data. The laboratory requires sub-millisecond latencies and a minimum throughput of 6 GBps for the storage subsystem. Hundreds of Amazon EC2 instances that run Amazon Linux will distribute and process the data.

Which solution will meet the performance requirements?

Answer options

• A. Create an Amazon FSx for NetApp ONTAP file system. Sat each volume’ tiering policy to ALL. Import the raw data into the file system. Mount the fila system on the EC2 instances.
• B. Create an Amazon S3 bucket to store the raw data. Create an Amazon FSx for Lustre file system that uses persistent SSD storage. Select the option to import data from and export data to Amazon S3. Mount the file system on the EC2 instances.
• C. Create an Amazon S3 bucket to store the raw data. Create an Amazon FSx for Lustre file system that uses persistent HDD storage. Select the option to import data from and export data to Amazon S3. Mount the file system on the EC2 instances.
• D. Create an Amazon FSx for NetApp ONTAP file system. Set each volume’s tiering policy to NONE. Import the raw data into the file system. Mount the file system on the EC2 instances.

Correct answer: B

Explanation

Amazon FSx for Lustre with persistent SSD storage is optimized for high-performance computing (HPC) workloads, easily delivering the required sub-millisecond latencies and 6 GBps throughput for hundreds of EC2 instances. Using HDD storage (Option C) would fail to meet the strict sub-millisecond latency requirements. Amazon FSx for NetApp ONTAP (Options A and D) is not designed to scale to the massive parallel throughput requirements of this HPC workload as efficiently as FSx for Lustre.