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Zorluk: OrtaUnderstand concepts of cloud economics

HydroStream Utilities, a regional water utility provider, currently processes telemetry data from smart meters in large batches twice a month. During these processing runs, CPU utilization on their on-premises servers spikes to 95% for approximately 12 hours. For the remainder of the month, the servers run idle at less than 5% capacity. The company plans to migrate this workload to AWS.

Which TWO of the following represent the primary cloud economics benefits that HydroStream Utilities will realize after this migration? (Select TWO.)

  1. A shift from upfront capital expenses (CapEx) to variable operating expenses (OpEx), reducing the need to invest in physical infrastructure.Cevap
  2. Cost optimization through elasticity, allowing the company to pay only for the compute resources consumed during telemetry spikes rather than maintaining idle capacity.Cevap
  3. C
    Maximizing cost savings for the predictable, low-demand baseline periods by utilizing On-Demand Instances to handle the continuous workload.
  4. D
    Eliminating the need to scale dynamically by keeping the maximum required capacity provisioned at all times to support growth.
  5. E
    Reducing operational overhead by transferring the responsibility of operating system patching on Amazon EC2 instances to AWS.

Cevap

The correct benefits are the shift from capital expenses (CapEx) to variable operating expenses (OpEx) and cost optimization through elasticity.
The correct answers identify the shift from capital expenses (CapEx) to variable operating expenses (OpEx) and the cost benefits of elasticity. Moving to AWS eliminates the upfront costs of buying physical servers (CapEx) and replaces them with pay-as-you-go operational pricing (OpEx). Additionally, using AWS allows the system to scale down resources during the 95% of the month when servers are idle, matching supply with demand and reducing overall costs.

Adım Adım Çözüm

1
Analyze the workload pattern described in the scenario, noting that demand is highly variable with high peaks for 12 hours twice a month and very low baseline usage the rest of the time.
Identified that the workload is a prime candidate for dynamic resource scaling to avoid paying for idle infrastructure.
Understanding the consumption profile helps determine which pricing and scaling models are most cost-effective.
2
Evaluate the financial impact of migrating from physical hardware to AWS utility pricing.
Determined that upfront hardware costs (CapEx) are eliminated and replaced by pay-as-you-go costs (OpEx).
This matches the core cloud economics concept of trading capital expense for operational expense.
3
Assess how AWS scaling capabilities can match the resource supply to the telemetry workload demand.
Recognized that AWS elasticity allows automatic scaling to handle peaks and scale down during idle times, minimizing cost.
Elasticity is the primary technical mechanism that drives cost savings in variable workloads.

Anahtar Kavram

Understanding cloud economics concepts, specifically the transition from capital expenses (CapEx) to operating expenses (OpEx) and leveraging elasticity to optimize resource costs based on variable demand.
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Understand concepts of cloud economics

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