220-1101 Virtualization and Cloud Computing Practice Question
A cloud administrator configures a virtual machine so that it automatically increases its allocated CPU and RAM resources during peak demand and reduces them during low usage periods without any manual intervention. Which cloud computing characteristic does this configuration BEST represent?
⚠ Common exam trap
CompTIA often tests the distinction between scalability (planned, manual capacity increase) and elasticity (automatic, real-time scaling both up and down), leading candidates to pick scalability when the question emphasizes automatic adjustment.
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 is the cloud characteristic that enables automatic scaling of resources (CPU, RAM) up and down in response to demand, without manual intervention. This configuration specifically matches elasticity because it adjusts resources dynamically during peak and low usage periods, which is distinct from the broader planning capability of scalability.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Scalability
Why it's wrong here
Scalability refers to the ability to increase resources manually or pre-configured, but it does not necessarily include automatic reduction of resources. The scenario emphasizes automatic adjustments in both directions, which is more specific to elasticity.
- ✓
Elasticity
Why this is correct
Elasticity is the defining cloud characteristic that enables a virtual machine to automatically and dynamically provision or de-provision resources—such as CPU, memory, or instances—in real time to match fluctuating demand. Unlike mere scalability, which typically involves manual or scheduled adjustments, elasticity implies an autonomous, bidirectional response where resources are both scaled up during spikes and scaled down during lulls without human intervention. This is typically achieved through monitoring metrics (e.g., CPU utilization) and policy-driven auto-scaling, making it the precise term for the described behavior.
- ✗
Resource pooling
Why it's wrong here
Resource pooling describes the cloud provider's use of a shared infrastructure to serve multiple customers (tenants) from a common set of physical resources, often using virtualization to isolate and allocate compute, storage, and network capacity on demand. It is a fundamental multi-tenancy model that focuses on the provider's backend efficiency and cost distribution, not on the dynamic scaling of a single virtual machine. The scenario centers on an individual VM's automatic resource adjustment, which has nothing to do with how resources are pooled across different customers, making this option incorrect.
- ✗
Metered service
Why it's wrong here
Metered service, also known as pay-as-you-go or usage-based billing, refers to the cloud provider's ability to track and charge customers for their actual consumption of resources—such as instance-hours, storage gigabytes, or data transfer volumes. While closely related to resource usage and often paired with elasticity, it is a financial and accounting mechanism, not a technical capability that governs how a VM scales. The described behavior is about automatic resource allocation in response to demand, not about measurement or billing, so this option does not match the scenario.
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