AgriSense IoT, an agricultural technology startup, is migrating its soil analysis platform from an on-premises data center to the AWS Cloud. The platform processes continuous sensor data from farms and experiences massive surges in analytical workloads during the spring and autumn harvesting seasons, with minimal activity during winter. Which two of the following represent the direct cloud economic benefits of this migration? (Select TWO.)
- Trading upfront capital expenses (CapEx) for variable operating expenses (OpEx), paying only for compute capacity when analytical jobs are running.Cevap
- Lowering the total cost of ownership (TCO) by leveraging elasticity to scale down resources during low-demand winter months.Cevap
- CShifting from a variable operational expense (OpEx) model to a fixed capital expense (CapEx) model to secure long-term cloud assets.
- DUtilizing On-Demand EC2 instances for the continuous year-round baseline sensor data to achieve the lowest billing rate.
- ERelying on scalability to dynamically shrink infrastructure capacity in real time to match immediate low-demand hours.
Cevap
Trading upfront capital expenses (CapEx) for variable operating expenses (OpEx), and lowering the total cost of ownership (TCO) by leveraging elasticity.
Migrating to AWS allows AgriSense IoT to trade capital expenses (CapEx) for operating expenses (OpEx), paying only for what they consume during peak harvesting seasons. Furthermore, by using elasticity, they can scale down resources during low-demand winter months, reducing idle resource costs and lowering their total cost of ownership (TCO).
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Anahtar Kavram
AWS cloud economics centers on trading fixed capital expenses for variable operating expenses and using elasticity to align capacity with demand, thereby reducing the total cost of ownership.