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Zorluk: ZorDefine the benefits of the AWS Cloud

A startup specializing in satellite imagery analysis processes high-resolution images collected from orbital passes. The processing workloads are highly fluctuating: they require immense computational power for a few hours after a satellite passes, followed by long periods of idle time. The startup wants to transition away from their on-premises server infrastructure to optimize operations using AWS Cloud benefits. Which two of the following options describe how specific AWS Cloud benefits address the startup's operational challenges?

  1. Trading capital expense for variable expense, which allows the startup to pay only for the compute resources consumed during active processing periods instead of investing heavily in upfront physical hardware.Cevap
  2. Stopping guessing capacity, which eliminates the need to predict and pre-purchase physical infrastructure to handle peak processing workloads, allowing resources to scale dynamically based on demand.Cevap
  3. C
    Increasing elasticity, which is defined as the capability to continuously add physical storage disks to the database servers to accommodate permanent, long-term growth of archived satellite imagery.
  4. D
    Trading variable expense for capital expense, which enables the startup to lock in long-term operational costs by making large, predictable upfront payments for all potential compute capacity.
  5. E
    Benefiting from massive economies of scale, which dictates that the startup must consolidate its data processing logic into a single, tightly coupled monolithic application architecture to achieve lower overall run costs.

Cevap

Trading capital expense for variable expense and stopping guessing capacity are the correct benefits.
The correct options are those that identify trading capital expense for variable expense and stopping guessing capacity. Paying only for active compute usage directly aligns with trading capital expense for variable expense. Dynamically adjusting resources to match the incoming satellite data flow directly aligns with stopping guessing capacity.

Adım Adım Çözüm

1
Analyze the workload pattern of the startup
The satellite imagery processing is highly fluctuating, requiring immense computational power during brief periods and remaining idle otherwise.
Understanding the workload demand patterns is necessary to align them with the correct cloud benefits.
2
Evaluate the financial benefit applicable to the workload pattern
Instead of purchasing physical hardware upfront (capital expense) that sits idle most of the time, paying only for compute capacity when active represents a variable expense.
This confirms the alignment with the benefit of trading capital expense for variable expense.
3
Evaluate the capacity management benefit applicable to the workload pattern
By leveraging dynamic scaling to handle the high-volume peaks without pre-provisioning physical infrastructure, the startup stops guessing capacity.
This confirms the alignment with the benefit of stopping guessing capacity.
4
Identify and eliminate incorrect distractor options based on common misconceptions
Distractors that misdefine elasticity, reverse CapEx/OpEx pricing models, or advocate for monolithic architectures are eliminated.
Eliminating invalid configurations ensures that only official AWS Cloud benefits are selected.

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Benefits of the AWS Cloud
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Define the benefits of the AWS Cloud

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