CLF-C02 Cloud Concepts Practice Question
An e-commerce company runs its website on Amazon EC2. During normal operation, 10 instances are sufficient. During a major sale event, traffic increases 20x and the Auto Scaling group automatically adds 190 additional instances within minutes. After the sale, the instances are terminated. Which cloud computing characteristic does this behaviour demonstrate?
⚠ Common exam trap
Test-takers frequently confuse rapid elasticity with on-demand self-service, but the key differentiator is the speed and automatic nature of scaling in response to demand, not the ability to provision resources without human interaction.
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
D is correct because the ability to automatically scale from 10 to 200 instances within minutes and then terminate them after the sale demonstrates rapid elasticity. This characteristic allows cloud resources to be provisioned and released elastically, often automatically, to scale rapidly outward and inward commensurate with demand. AWS Auto Scaling groups achieve this by using launch configurations, scaling policies, and CloudWatch alarms to dynamically adjust the EC2 instance count based on real-time metrics like CPU utilization or request count.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Resource pooling
Why it's wrong here
Resource pooling describes the provider's multi-tenant model where physical and virtual resources are dynamically assigned and reassigned among multiple customers using a shared infrastructure, often with location independence. This is an architectural efficiency that lowers provider costs and enables abstraction, but it does not describe the customer's operational capability to rapidly increase or decrease their own deployed resource count. Auto Scaling is a customer-facing control-plane function for scaling their specific workloads, unrelated to how AWS multiplexes underlying infrastructure.
- ✗
On-demand self-service
Why it's wrong here
On-demand self-service allows a customer to provision and configure compute and storage resources via APIs or consoles without requiring human interaction from the provider. It addresses the autonomy of provisioning, not the velocity or direction of scaling; a user could create a single instance just as self-service as Auto Scaling creates hundreds. The scenario emphasizes the rapid, automatic expansion and contraction of capacity for a specific event, which is the hallmark of rapid elasticity rather than merely the absence of provider involvement.
- ✗
Broad network access
Why it's wrong here
Broad network access means cloud resources are reachable over the network through standard protocols by diverse client platforms, including smartphones, laptops, and workstations. In the Auto Scaling scenario, the concern is not how users reach the application from various device types but how compute capacity adjusts to traffic load. The ability to add or remove hundreds of instances in minutes reflects capacity elasticity, not the network-accessible delivery of services.
- ✓
Rapid elasticity
Why this is correct
Rapid elasticity describes the ability to provision resources quickly to scale out during demand spikes and release them when demand drops. Auto Scaling adding hundreds of instances in minutes and terminating them after the event is the classic example.
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Same concept, more angles
1 more way this is tested on CLF-C02
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company runs a monthly data processing job that requires 100 Amazon EC2 instances to complete within 4 hours. The job is not needed at any other time. The company previously ran this job on its on-premises servers, which required maintaining enough capacity to handle the peak load year-round, leading to low average utilization. The company has now migrated the job to AWS. Each month, the company automatically provisions the 100 instances, runs the job, and then terminates the instances. Which essential characteristic of cloud computing does this scenario best illustrate?
medium- A.Resource pooling
- B.Measured service
- C.On-demand self-service
- ✓ D.Rapid elasticity
Why D: This scenario best illustrates rapid elasticity because the company provisions 100 EC2 instances only when needed for the monthly job, scaling up from zero to 100 instances in minutes and then scaling back down to zero after the job completes. Rapid elasticity allows cloud resources to be quickly scaled out (increased) and scaled in (decreased) to match demand, eliminating the need to maintain idle capacity for peak loads.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This CLF-C02 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the CLF-C02 exam.