A satellite imagery analytics company processes massive volumes of earth observation data. The processing workload is highly variable, spiking dramatically after major weather events when customers request urgent assessments, while remaining idle during normal operations. Historically, the company maintained a large on-premises server cluster to handle peak demands, resulting in low average resource utilization. Which of the following AWS Cloud benefits directly address this organization's challenges? (Select TWO.)
- Stop guessing capacityAnswer
- Stop spending money running and maintaining data centersAnswer
- CTrade variable operating expenses for predictable upfront capital expenditures
- DDeploy a tightly coupled monolithic architecture to minimize the overhead of scaling out resources
- EProvision a static maximum-capacity infrastructure to ensure scalability during peak demands
Answer
The correct benefits are stopping guessing capacity and stopping spending money running and maintaining data centers.
The correct answers are the benefits of stopping guessing capacity and stopping spending money running and maintaining data centers. The satellite imagery company's workload is highly variable, meaning that scaling resources dynamically (stopping guessing capacity) prevents low utilization. Additionally, eliminating physical server clusters removes the financial and operational burden of managing their own data center facility.
Step-by-Step Solution
Key Concept
Benefits of the AWS Cloud