A medical imaging clinic operates from 8:00 AM to 6:00 PM on weekdays. The clinic is planning a new patient portal that requires high compute power during operational hours but remains completely idle at night and on weekends. The clinic decides to host the portal on Azure virtual machines using a consumption-based pricing model.
How does this decision affect the clinic's capital expenditure (CapEx) and operational expenditure (OpEx) compared to deploying the portal on-premises?
- The clinic reduces CapEx by avoiding the purchase of physical servers, and their OpEx fluctuates based on the actual compute hours used.Answer
- BThe clinic increases CapEx due to the upfront cost of reserving cloud capacity, but their OpEx is eliminated because there are no maintenance costs.
- CThe clinic's monthly cloud billing is classified as CapEx, allowing them to depreciate the virtual machines as physical assets over time.
- DThe clinic pays a fixed monthly OpEx that matches the cost of running the virtual machines continuously, 24 hours a day.
Answer
The clinic reduces CapEx by avoiding the purchase of physical servers, and their OpEx fluctuates based on the actual compute hours used.
The correct option is the one stating that CapEx is reduced by avoiding server purchases and OpEx fluctuates. This is correct because deploying to Azure avoids upfront hardware procurement (reducing CapEx), and stopping virtual machines during off-hours ensures the clinic only pays for active usage (resulting in a fluctuating OpEx).
Step-by-Step Solution
Key Concept
Under a consumption-based cloud model, organizations shift from CapEx (upfront physical hardware investment) to OpEx (ongoing operational costs based on actual resource usage).
Alternative Method
Another way to view this is by comparing it to utility billing: you only pay for electricity when the lights are turned on, unlike building your own power station upfront.
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