220-1101 Virtualization and Cloud Computing Practice Question
A company runs an online retail platform that experiences unpredictable traffic surges during holiday sales events. The cloud architecture must automatically scale resources up within minutes to handle the load and then scale down when traffic subsides to avoid unnecessary costs. Which characteristic of cloud computing is being utilized?
⚠ Common exam trap
The 220-1101 exam often tests the distinction between 'on-demand self-service' and 'rapid elasticity' by presenting a scenario where automatic scaling is the key feature, but candidates mistakenly choose on-demand self-service because they confuse the ability to provision resources manually with the automated scaling of resources.
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
Rapid elasticity is the cloud characteristic that enables resources to automatically scale up or down in response to demand. In this scenario, the platform needs to handle unpredictable traffic surges within minutes and then scale down to avoid costs, which directly matches the definition of rapid elasticity. This is distinct from on-demand self-service, which focuses on provisioning resources without human interaction, not on automatic scaling.
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 refers to a user's ability to independently provision computing resources, such as virtual machines or storage, through a self-service portal without requiring human interaction with IT staff. While this enables users to manually spin up resources when needed, it does not include any automatic or dynamic scaling mechanism that reacts to changing load. Thus, it fails to address the requirement for the platform to automatically adjust capacity based on fluctuating demand.
- ✗
Broad network access
Why it's wrong here
Broad network access describes the availability of cloud services over the network using standard protocols (e.g., HTTPS, SSH) from a variety of client platforms, such as laptops, mobile devices, and workstations. This characteristic ensures that resources are remotely accessible, but it says nothing about the ability to scale resources up or down dynamically. Therefore, it does not meet the stated need for automatic scaling in response to load changes.
- ✓
Rapid elasticity
Why this is correct
Rapid elasticity is the cloud characteristic that allows resources to be provisioned and released automatically, often in response to measured demand, with scaling that appears to be unlimited to the consumer. In an online retail platform facing variable traffic, this supports both scaling out (adding instances during peak load) and scaling in (removing them during off-peak times) without manual intervention. This directly matches the requirement for the platform to handle fluctuating demand efficiently, making it the correct answer.
- ✗
Measured service
Why it's wrong here
Measured service involves metering resource usage (CPU, bandwidth, storage) and using that data for billing, capacity planning, and monitoring. Although telemetry from a measured service could inform a scaling policy, the characteristic itself only provides visibility and accounting, not the automatic adjustment of resources. Consequently, it does not inherently deliver the dynamic scaling needed for the retail platform.
Go deeper
Related to this question
Learn chapter
SSD TRIM, Wear Leveling, and Over-Provisioning
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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