A logistics management firm, OrbitRoute Logistics, is migrating its legacy supply chain optimization application to AWS. Currently, the company owns and maintains physical servers in a private data center, requiring long-term capacity forecasting and large upfront hardware investments. The application experiences highly unpredictable spikes in usage during year-end holiday shopping seasons, while running at minimal capacity during the rest of the year. Which two of the following options represent the primary cloud economics benefits that OrbitRoute Logistics will realize by moving this workload to the AWS Cloud?
- Shifting from upfront capital expenses (CapEx) to variable operating expenses (OpEx), reducing the need to invest in physical infrastructureAnswer
- BConverting variable operating expenses (OpEx) into upfront capital expenses (CapEx) to maximize the depreciation value of cloud assets
- Utilizing cloud elasticity to automatically match resource provisioning with actual real-time demand, minimizing cost during low-usage periodsAnswer
- DUsing horizontal scaling to maintain maximum capacity at all times to prevent any change in running resources
- EPurchasing On-Demand Instances to continuously cover the baseline capacity to receive the highest volume discounts available
Answer
The correct answers are the shift from upfront capital expenses (CapEx) to variable operating expenses (OpEx), and the utilization of cloud elasticity to dynamically match resource provisioning with actual real-time demand.
The correct options are: (1) shifting from upfront capital expenses to variable operating expenses, and (2) utilizing cloud elasticity to dynamically scale resources to match demand. In a traditional data center, organizations must buy hardware upfront (CapEx), whereas AWS allows paying only for what is used (OpEx). Elasticity ensures resources scale down when not in use, avoiding overprovisioning costs during low-demand periods.
Step-by-Step Solution
Key Concept
Cloud economics relies on transitioning capital expenses into variable operating expenses and leveraging elasticity to match supply with demand.
Estimated Time:1m 30s