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Zorluk: OrtaAWS Pricing Models

A company is conducting a short-term, three-week stress test on a new application. The testing application must run continuously on Amazon EC2 without any interruptions, but the workload will be completely shut down after the three-week period. Which Amazon EC2 pricing model is the most cost-effective and appropriate for this workload?

  1. A
    Spot Instances
  2. On-Demand InstancesCevap
  3. C
    Reserved Instances
  4. D
    Savings Plans

Cevap

On-Demand Instances
On-Demand Instances allow you to pay for compute capacity by the second or hour with no long-term commitment. This is the most appropriate choice for a short-term (three-week) workload that must run continuously without any interruptions, as it guarantees the instances will not be reclaimed and allows them to be deleted when the test ends.

Adım Adım Çözüm

1
Analyze the workload requirements: duration and interruption tolerance.
The workload is short-term (three weeks) and must run continuously without any interruptions.
Identifying the key constraints helps rule out models requiring long commitments or allowing interruptions.
2
Evaluate Spot Instances against the requirements.
Spot Instances are ruled out because they can be interrupted by AWS when capacity is needed.
The workload requires zero interruptions.
3
Evaluate Reserved Instances and Savings Plans against the requirements.
Reserved Instances and Savings Plans are ruled out because they require a 1-year or 3-year commitment, which is inefficient for a 3-week workload.
Commitment-based models are meant for long-term, stable workloads.
4
Evaluate On-Demand Instances against the remaining requirements.
On-Demand Instances require no long-term commitment, guarantee no interruption from capacity reclaims, and can be terminated at any time.
On-Demand represents the most cost-effective and appropriate model for this specific short-term, continuous workload.

Anahtar Kavram

Selecting optimal EC2 pricing models based on duration, stability, and interruption tolerance.
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