SAA-C03 · Question #746
A research laboratory needs to process a multi-terabyte dataset multiple times each day. The laboratory requires sub-millisecond latency while processing the data. Hundreds of Amazon EC2 Linux…
The correct answer is B. Create an Amazon S3 bucket to store the raw data. Create an Amazon FSx for Lustre file system. Amazon FSx for Lustre with persistent SSD storage provides high-performance, low-latency file storage suitable for multi-terabyte datasets and hundreds of EC2 instances. Integrating with Amazon S3 allows data import/export while maintaining sub-millisecond latency for…
Question
A research laboratory needs to process a multi-terabyte dataset multiple times each day. The laboratory requires sub-millisecond latency while processing the data. Hundreds of Amazon EC2 Linux instances will process the data from the source and store the data in a different location. Which solution will meet these requirements?
Options
- ACreate an Amazon FSx for NetApp ONTAP file system. Set each volume's tiering policy to All.
- BCreate an Amazon S3 bucket to store the raw data. Create an Amazon FSx for Lustre file system
- CCreate an Amazon S3 bucket to store the raw data. Create an Amazon FSx for Lustre file system
- DCreate an Amazon FSx for Windows File Server Multi-AZ file system with HDD storage. Enable
How the community answered
(24 responses)- A8% (2)
- B71% (17)
- C4% (1)
- D17% (4)
Explanation
Amazon FSx for Lustre with persistent SSD storage provides high-performance, low-latency file storage suitable for multi-terabyte datasets and hundreds of EC2 instances. Integrating with Amazon S3 allows data import/export while maintaining sub-millisecond latency for processing, meeting the laboratory’s performance and scalability requirements.
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