220-1101 Virtualization and Cloud Computing Practice Question
A graphic design company needs to render a complex 3D animation that will take approximately 4 hours to complete. The rendering software requires a powerful CPU and a large amount of RAM. The company's on-premises workstations are not powerful enough, and they do not want to purchase new hardware. Which cloud computing characteristic would BEST allow them to complete this task cost-effectively?
⚠ Common exam trap
CompTIA often tests the distinction between elasticity (scaling resources up/down on demand) and scalability (the ability to handle growth), so candidates may confuse elasticity with simply adding more resources permanently rather than temporarily provisioning and releasing them.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Elasticity
Elasticity allows the company to provision cloud-based virtual machines with the required CPU and RAM for the duration of the rendering task (4 hours) and then de-provision them immediately after, paying only for the compute time used. This avoids the capital expenditure of purchasing new hardware and is cost-effective because resources scale up on demand and scale down when no longer needed.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Metered service / measured service
Why it's wrong here
Metered service (or measured service) means the platform monitors and reports resource usage, typically for billing purposes. While a rendering job will incur charges based on VM hours, metering itself does not provision new instances or adjust capacity on demand. For a short 4-hour rendering task, metering tells you what you used, not how to temporarily increase compute power.
- ✗
Resource pooling
Why it's wrong here
Resource pooling abstracts physical hardware into a shared pool that serves multiple tenants, giving the provider operational efficiency. However, the ability to quickly allocate an extra-large VM to one customer's 3D render is a separate mechanism — usually a combination of virtualization and orchestration. Pooling alone does not imply dynamic, per-user scaling; that is a property of elasticity.
- ✓
Elasticity
Why this is correct
Elasticity is the defining characteristic that lets a graphic design firm provision a powerful GPU instance for the four-hour render, then automatically or manually terminate it to stop paying. It supports both rapid scale-out and scale-in, matching resources to current workload intensity. Unlike loose 'scalability,' elasticity is the right answer because the workload is temporary and must be released afterward to minimize cost.
- ✗
High availability
Why it's wrong here
High availability focuses on ensuring a service remains reachable across component failures, often through redundant servers, failover clusters, and health checks. Rendering 3D animation does require long-running execution, but the problem is a short, heavy compute burst, not interruption risk. HA would keep an existing VM alive, yet it cannot conjure extra CPU/GPU capacity that was never allocated for the render job.
Go deeper
Related to this question
Learn chapter
Cloud Storage: Object, Block, File
Key term
RAM
RAM (Random-Access Memory) is volatile computer memory that temporarily stores data for quick access by the CPU.
Key term
Dual In-line Memory Module
A Dual In-line Memory Module (DIMM) is a small circuit board that holds memory chips and plugs into a computer's motherboard to provide Random Access Memory (RAM).
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Written by Johnson Ajibi, MSc IT Security
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