- A
Resource pooling
Why wrong: Resource pooling is about AWS sharing physical infrastructure across customers, not about a customer's ability to scale their own capacity up and down.
- B
On-demand self-service
Why wrong: On-demand self-service is about provisioning resources without human interaction from the provider, not specifically about the speed and scale of expansion and contraction.
- C
Broad network access
Why wrong: Broad network access refers to the ability to access cloud resources from multiple device types over a network.
- D
Rapid elasticity
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.
Rapid Elasticity in Cloud Computing
This CLF-C02 practice question tests your understanding of cloud concepts. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 is about AWS sharing physical infrastructure across customers, not about a customer's ability to scale their own capacity up and down.
- ✗
On-demand self-service
Why it's wrong here
On-demand self-service is about provisioning resources without human interaction from the provider, not specifically about the speed and scale of expansion and contraction.
- ✗
Broad network access
Why it's wrong here
Broad network access refers to the ability to access cloud resources from multiple device types over a network.
- ✓
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.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often 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.
Detailed technical explanation
How to think about this question
Under the hood, AWS Auto Scaling uses a combination of launch templates, scaling plans, and CloudWatch metric alarms to trigger scale-out and scale-in events. For example, a target tracking scaling policy can maintain CPU utilization at 50%, and when traffic spikes, the Auto Scaling group launches new instances from an Amazon Machine Image (AMI) in parallel, often reaching the desired capacity within minutes due to pre-warmed ENIs and fast instance initialization. A subtle behavior is that rapid elasticity also includes the ability to scale down quickly, which AWS achieves by terminating instances and deregistering them from load balancers, ensuring cost optimization without manual intervention.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this CLF-C02 question test?
Cloud Concepts — This question tests Cloud Concepts — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: 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.
What should I do if I get this CLF-C02 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more ways 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.
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Last reviewed: Jun 11, 2026
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.
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