220-1101 Virtualization and Cloud Computing Practice Question
A company runs its customer-facing web application on a public cloud platform. The application experiences dramatic traffic spikes during promotional events. The cloud platform automatically increases the number of virtual server instances during high demand and reduces them when demand subsides. The company only pays for the compute resources consumed during the billing cycle. Which cloud computing characteristic does this configuration BEST exemplify?
⚠ Common exam trap
A common mix-up: candidates confuse 'measured service' (metering and billing) with 'rapid elasticity' (dynamic scaling), but the question's focus on automatic instance count changes during traffic spikes directly points to elasticity, not just pay-per-use billing.
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
✓
Rapid elasticity
The scenario describes the cloud platform automatically scaling virtual server instances up and down in response to traffic spikes, which is the defining characteristic of rapid elasticity. This allows the company to provision and release compute resources dynamically, paying only for what is used, which is a core benefit of cloud computing.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
On-demand self-service
Why it's wrong here
On-demand self-service enables a user to provision computing capabilities automatically without requiring human interaction with the service provider. However, this characteristic describes the initial procurement of resources, not the dynamic adjustment of capacity in response to fluctuating traffic. In the scenario, the platform is automatically adding and removing virtual servers, which is the defining behavior of rapid elasticity, not self-service provisioning. While a user might initially self-provision the application, the operational scaling described is outside the scope of this NIST characteristic.
- ✓
Rapid elasticity
Why this is correct
Rapid elasticity is the ability to quickly scale resources out and in automatically to match fluctuating demand. The description of the platform adding and removing virtual servers based on traffic spikes is a direct example of this characteristic.
- ✗
Resource pooling
Why it's wrong here
Resource pooling refers to the provider's infrastructure being shared among multiple customers using a multi-tenant model, where physical and virtual resources are dynamically assigned and reassigned according to demand. This pooling enables economies of scale and provides the underlying capacity that makes elasticity possible, but the characteristic itself is not the automatic scaling of resources. The scenario focuses on the platform's autonomous reactions to traffic spikes, which is the essence of rapid elasticity, not the static or pooled nature of the underlying infrastructure. In short, pooling is about shared access, while elasticity is about dynamic scaling.
- ✗
Measured service
Why it's wrong here
Measured service is the metering and billing based on resource usage (pay-per-use). Although the company pays only for consumed resources, the scenario emphasizes the automatic scaling behavior, not the billing model. Rapid elasticity is the more precise characteristic.
Go deeper
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Key term
Anything As A Service
A model where you rent any IT resource or service over the internet instead of owning it.
Key term
Software as a Service
Software as a Service (SaaS) is a cloud computing model where users access software applications over the internet on a subscription basis, without installing or maintaining the software locally.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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