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Zorluk: ZorDefine the benefits of the AWS Cloud

An engineering firm designs and tests wind turbine prototypes using computational fluid dynamics (CFD) simulations. Historically, their on-premises computing clusters sat idle during design-drafting phases, yet became heavily bottlenecked with long job queues during testing phases. By migrating these workloads to AWS, they can spin up hundreds of virtual cores on demand to run simulations in parallel, and immediately terminate them when the runs complete. Which AWS Cloud benefit is directly demonstrated by resolving this specific challenge of idle hardware and queue delays?

  1. A
    Increase speed and agility
  2. B
    Trade fixed expense for variable expense
  3. Stop guessing capacityCevap
  4. D
    Stop spending money running and maintaining data centers

Cevap

Stop guessing capacity
The correct answer is 'Stop guessing capacity'. The scenario highlights the classic dilemma of capacity planning: having idle resources during low-demand periods (over-provisioning) and queue bottlenecks during peak periods (under-provisioning). AWS solves this by allowing resources to scale up and down dynamically as needed, meaning organizations no longer need to forecast capacity beforehand.

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1
Analyze the business problem in the scenario: the engineering firm experiences periods of idle resources (over-provisioning) and periods of queue delays (under-provisioning) due to static infrastructure capacity constraints.
Identified that the core challenge is related to predicting and matching infrastructure capacity to fluctuating simulation workloads.
Understanding the operational bottleneck is the first step in mapping it to the correct cloud benefit.
2
Evaluate how migrating to AWS resolves this challenge: the firm can dynamically spin up resources on demand and terminate them immediately when finished.
AWS allows the firm to scale capacity up and down within minutes, eliminating the need to pre-allocate fixed hardware.
This shows how dynamic cloud elasticity solves the traditional capacity forecasting problem.
3
Map this solution to the six official AWS Cloud benefits defined in the AWS Certified Cloud Practitioner curriculum.
The ability to dynamically scale resources to match demand and eliminate the issues of idle hardware or capacity limits maps directly to 'Stop guessing capacity'.
Official AWS documentation defines 'Stop guessing capacity' as eliminating the need to make capacity decisions prior to deploying applications, preventing sitting on idle resources or dealing with limited capacity.

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AWS Cloud Benefit: Stop guessing capacity
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Define the benefits of the AWS Cloud

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