A biomedical research institution occasionally runs high-throughput genomic sequencing workloads that require thousands of compute instances for a few days. Once the analysis is complete, the computational resources are shut down completely. Instead of building an on-premises high-performance computing (HPC) cluster, the institution deploys these workloads on AWS.
Which of the following benefits of the AWS Cloud are directly demonstrated in this scenario? (Select TWO.)
- Stop guessing capacity, as the institution can provision resources dynamically to match workload demands and shut them down when idle.Cevap
- Increase speed and agility, as researchers can spin up resources in minutes rather than waiting weeks for IT infrastructure procurement.Cevap
- CShifting from operating expenses (OpEx) to capital expenses (CapEx) to ensure the institution owns its virtual servers.
- DAchieving elasticity by permanently running maximum compute capacity to guarantee zero latency during unexpected traffic spikes.
- EAdopting tightly coupled monolithic architectures to ensure all sequencing processes run sequentially on a single static server.
Cevap
The correct answers are the benefits of stopping guessing capacity and increasing speed and agility.
The scenario demonstrates two distinct AWS benefits: 'Stop guessing capacity' and 'Increase speed and agility'. By provisioning instances only when needed and terminating them when the workload is complete, the institution avoids guessing what size HPC cluster they must build. Furthermore, the ability to deploy thousands of instances in minutes rather than spending months procuring physical servers demonstrates speed and agility.
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Benefits of the AWS Cloud
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