A logistics company is migrating its regional package tracking system to AWS. The system requires constant baseline compute capacity to track shipments, but it experiences sudden, unpredictable load spikes during major holiday shipping seasons. The company wants to optimize its infrastructure costs compared to its current on-premises data center model.
Which of the following actions align with the core concepts of cloud economics to achieve these cost optimization goals? (Select TWO.)
- Transitioning from capital expenditures (CapEx) to operating expenditures (OpEx) by paying only for active compute resources instead of buying physical hardwareAnswer
- Configuring the infrastructure to automatically scale down during off-peak hours to eliminate payments for idle capacityAnswer
- CPurchasing physical server hardware upfront to ensure enough capacity is always available for peak holiday demands
- DDeploying a single, massive database instance that is permanently provisioned to handle the maximum expected holiday peak traffic
- ERelying exclusively on On-Demand EC2 instances to run the predictable baseline workload that operates continuously
Answer
Transitioning from capital expenditures (CapEx) to operating expenditures (OpEx) by paying only for active compute resources instead of buying physical hardware, and configuring the infrastructure to automatically scale down during off-peak hours to eliminate payments for idle capacity.
The correct options reflect the transition from capital expenditures to variable operating expenditures, and the application of elasticity to match capacity with demand to avoid paying for idle resources.
Step-by-Step Solution
Key Concept
Cloud economics relies on transitioning from upfront CapEx to variable OpEx, and using elasticity to pay only for active resources, avoiding the cost of idle capacity.