Amazon Web Services SAA-C03 Exam With Confidence Using Practice Dumps

For latency-sensitive, globally distributed applications such as online gaming, minimizing network latency between users and application endpoints is critical. AWS Global Accelerator is designed specifically for this purpose. It uses the AWS global network and Anycast IP addresses to route user traffic to the closest healthy endpoint, reducing latency and improving performance for users worldwide.

Option C is the best solution because Global Accelerator directs traffic over the AWS backbone network instead of the public internet, which significantly reduces jitter and latency. It also provides built-in health checks and automatic failover, improving availability as the service expands globally. Importantly, Global Accelerator works seamlessly with existing Application Load Balancers, allowing the company to enhance performance without redesigning the application stack.

Option A (CloudFront) is optimized for caching static and cacheable content and is not ideal for real-time, stateful gaming traffic. Option B adds unnecessary API abstraction and additional latency. Option D introduces regional duplication and DNS-based routing, which is slower to react to network conditions and does not provide the same low-latency routing as Global Accelerator.

Therefore, C meets the requirement for global expansion with the least possible latency while maintaining a simple and highly performant architecture.

Amazon FSx for Lustre is the ideal solution for high-performance computing (HPC) workloads that require parallel access to a shared file system with low latency. FSx for Lustre is designed specifically to meet the needs of such workloads, offering sub-millisecond latencies, which makes it well-suited for the 1 ms latency requirement mentioned in the question.

Here is why FSx for Lustre is the best fit:

Parallel File System: FSx for Lustre is a parallel file system that can scale across hundreds of Amazon EC2 instances, providing high throughput and low-latency access to data. It is optimized for processing large datasets in parallel, which is essential for HPC workloads.

Low Latency: FSx for Lustre is capable of providing access latencies well within 1 ms, making it ideal for performance-sensitive workloads like HPC.

Seamless Integration with Amazon S3: FSx for Lustre can be linked to an Amazon S3 bucket. This integration allows data to be imported from S3 into FSx for Lustre before the workload begins and exported back to S3 after processing. This feature is crucial for manual postprocessing because it enables engineers to access the dataset in S3 after processing.

Performance: FSx for Lustre is built for workloads that require high performance, such as machine learning, analytics, media processing, and financial simulations, which are typical for HPC environments.

In contrast:

Amazon EFS (Option A): While EFS provides shared file storage and scales across multiple EC2 instances, it does not offer the same level of performance or sub-millisecond latencies as FSx for Lustre. EFS is more suited for general-purpose workloads, not high-performance computing.

Mounting S3 as a file system (Option B and D): S3 is object storage, not a file system designed for low-latency access and parallel processing. Mounting S3 buckets directly or using AWS Resource Access Manager to share the bucket would not meet the low-latency (1 ms) or performance requirements needed for HPC workloads.

Therefore, Amazon FSx for Lustre (Option C) is the most appropriate and verified solution for this scenario.

AWS References:

Amazon FSx for Lustre

Best Practices for High Performance Computing (HPC)

Amazon FSx and Amazon S3 Integration

SSE-KMS (Server-side encryption with AWS Key Management Service) not only encrypts data at rest but also integrates with AWS CloudTrail to provide detailed logs of key usage — meeting the audit requirement.

“SSE-KMS provides the ability to audit key usage to see who used the key and when, via AWS CloudTrail.”

— Amazon S3 Encryption Documentation

Benefits:

Encryption with customer-managed or AWS-managed KMS keys

Audit trails of key usage events

Fine-grained access control

Incorrect Options:

A: SSE-S3 does not support auditing of key usage.

C: SSE-C does not integrate with CloudTrail or KMS.

D: Self-managed keys require external key infrastructure and custom audit logging.