Q45 — AWS SAA-C03 Ch.11

Question 45 of 100 | ← Chapter 11

Q745. A weather forecasting company needs to process hundreds of gigabytes of data with sub-millisecond latency. The company has a high performance computing (HPC) environment in its data center and wants to expand its forecasting capabilities.A solutions architect must identify a highly available cloud storage solution that can handle large amounts of sustained throughput. Files that are stored in the solution should be accessible to thousands of compute instances that will simultaneously access and process the entire dataset.What should the solutions architect do to meet these requirements?

Correct Answer: B. Use Amazon FSx for Lustre persistent file systems.

Explanation

To meet the requirements of processing large amounts of data with sub-millisecond latency, providing high availability, and enabling access to thousands of compute instances, the solution that the solutions architect should choose is:B. Use Amazon FSx for Lustre persistent file systems.Option B, using Amazon FSx for Lustre persistent file systems, is the most suitable solution for this scenario. Amazon FSx for Lustre is a high-performance file system optimized for workloads that require fast data processing and low-latency access. It is ideal for HPC workloads that deal with large datasets and require sub-millisecond latencies. With Amazon FSx for Lustre persistent file systems, the files can be stored and accessed by thousands of compute instances simultaneously, allowing for efficient data processing. It provides high availability and durability, ensuring that the data remains accessible even in the event of component failures. This solution is designed to handle large amounts of sustained throughput, making it well-suited for the weather forecasting company's requirements.Option A, using Amazon FSx for Lustre scratch file systems, is not the best choice for this scenario. Scratch file systems are temporary storage solutions that provide high-performance storage for temporary data. However, they are not designed for durability or long-term data storage. Since the weather forecasting company needs a solution that can handle large amounts of data and provide accessibility to thousands of compute instances, a persistent file system like Amazon FSx for Lustre is a better fit.Option C, using Amazon Elastic File System (Amazon EFS) with Bursting Throughput mode, may not provide the required performance for processing hundreds of gigabytes of data with sub-millisecond latency. Bursting Throughput mode in Amazon EFS is designed for workloads that have intermittent bursts of activity and does not guarantee sustained high throughput. It may not be suitable for the high-performance requirements of the weather forecasting company.Option D, using Amazon Elastic File System (Amazon EFS) with Provisioned Throughput mode, also may not provide the necessary performance for processing large amounts of data with sub-millisecond latency. Provisioned Throughput mode allows you to specify a throughput level for your file system, but it may not match the high throughput requirements of the weather forecasting company's workload.Therefore, the most appropriate solution to meet the requirements of processing large amounts of data with sub-millisecond latency, providing high availability, and enabling access to thousands of compute instances is B: Use Amazon FSx for Lustre persistent file systems.