- A
Elasticity
Correct. Elasticity is the ability to automatically scale resources up or down based on demand, matching supply to need and minimizing cost. The Auto Scaling group directly implements this characteristic.
- B
On-demand self-service
Why wrong: Incorrect. On-demand self-service means a consumer can provision resources without requiring human interaction from the provider. While Auto Scaling uses this capability, the primary characteristic demonstrated here is the dynamic scaling itself, not the self-service provisioning.
- C
Measured service
Why wrong: Incorrect. Measured service means cloud resources are metered and usage can be monitored, controlled, and reported. While the company pays only for running instances (a result of metering), the core behavior described is the automatic scaling, not the metering.
- D
Resource pooling
Why wrong: Incorrect. Resource pooling refers to the provider serving multiple customers from a shared pool of physical resources. The scenario focuses on how one customer dynamically adjusts its own resource footprint, not on multi-tenancy.
Quick Answer
The answer is elasticity. This is correct because the scenario describes dynamically adding and removing Amazon EC2 instances via Auto Scaling in direct response to real-time CPU utilization, which perfectly illustrates the cloud computing characteristic of elasticity—the ability to provision and de-provision resources automatically to match fluctuating demand, paying only for what is used. On the AWS Certified Cloud Practitioner CLF-C02 exam, elasticity is frequently tested alongside scalability; the key distinction is that elasticity focuses on automatic, real-time adjustment to unpredictable spikes, while scalability often refers to planned growth. A common trap is confusing elasticity with high availability, but remember that elasticity is about matching capacity to demand, not about fault tolerance. A helpful memory tip: think of a rubber band—it stretches out (scales up) when pulled and snaps back (scales down) when released, just like elastic cloud resources.
CLF-C02 Cloud Concepts Practice Question
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.
A company runs an e-commerce application on a fleet of Amazon EC2 instances. The application experiences unpredictable traffic spikes during flash sales. To handle this, the company configures an Amazon EC2 Auto Scaling group to automatically add instances when CPU utilization exceeds 70% and remove instances when utilization drops below 30%. The company only pays for the instances that are running. This ability to dynamically add and remove compute capacity based on real-time demand best demonstrates which essential characteristic of cloud computing?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
The scenario describes an Auto Scaling group that adds EC2 instances when CPU exceeds 70% and removes them when it drops below 30%, paying only for running instances. This ability to automatically scale compute capacity up and down in response to real-time demand is the defining characteristic of elasticity in cloud computing, which allows resources to be provisioned and de-provisioned dynamically to match workload fluctuations.
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.
- ✓
Elasticity
Why this is correct
Correct. Elasticity is the ability to automatically scale resources up or down based on demand, matching supply to need and minimizing cost. The Auto Scaling group directly implements this characteristic.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
On-demand self-service
Why it's wrong here
Incorrect. On-demand self-service means a consumer can provision resources without requiring human interaction from the provider. While Auto Scaling uses this capability, the primary characteristic demonstrated here is the dynamic scaling itself, not the self-service provisioning.
- ✗
Measured service
Why it's wrong here
Incorrect. Measured service means cloud resources are metered and usage can be monitored, controlled, and reported. While the company pays only for running instances (a result of metering), the core behavior described is the automatic scaling, not the metering.
- ✗
Resource pooling
Why it's wrong here
Incorrect. Resource pooling refers to the provider serving multiple customers from a shared pool of physical resources. The scenario focuses on how one customer dynamically adjusts its own resource footprint, not on multi-tenancy.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse elasticity with on-demand self-service, but on-demand self-service is about provisioning resources without manual intervention, whereas elasticity is specifically about scaling resources up and down to match demand.
Trap categories for this question
Scenario analysis trap
Incorrect. Resource pooling refers to the provider serving multiple customers from a shared pool of physical resources. The scenario focuses on how one customer dynamically adjusts its own resource footprint, not on multi-tenancy.
Detailed technical explanation
How to think about this question
Under the hood, Amazon EC2 Auto Scaling uses CloudWatch alarms to trigger scaling policies; the CPU utilization metric is polled every minute (standard resolution) or every 5 minutes (basic monitoring), and the cooldown period (default 300 seconds) prevents rapid flapping. In a real-world flash sale, the Auto Scaling group might also use predictive scaling or scheduled scaling to pre-warm instances, as the 70% threshold could lag behind a sudden spike, causing temporary performance degradation before new instances become available.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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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Cloud Concepts — study guide chapter
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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: Elasticity — The scenario describes an Auto Scaling group that adds EC2 instances when CPU exceeds 70% and removes them when it drops below 30%, paying only for running instances. This ability to automatically scale compute capacity up and down in response to real-time demand is the defining characteristic of elasticity in cloud computing, which allows resources to be provisioned and de-provisioned dynamically to match workload fluctuations.
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.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
4 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 customer-facing web application on Amazon EC2 instances. The application experiences unpredictable traffic patterns, with occasional spikes during marketing campaigns and lulls at other times. The company configures an Auto Scaling group to automatically add EC2 instances when CPU utilization exceeds 70% and remove instances when it drops below 30%. This ability to scale computing resources up and down in response to demand best represents which essential characteristic of cloud computing?
medium- ✓ A.Elasticity
- B.High availability
- C.Security
- D.Cost management
Why A: The scenario describes an Auto Scaling group that dynamically adjusts the number of EC2 instances based on CPU utilization thresholds (70% scale-up, 30% scale-down). This ability to automatically provision and de-provision computing resources to match demand is the defining characteristic of elasticity in cloud computing, which allows resources to scale out during spikes and scale in during lulls, optimizing cost and performance.
Variation 2. A company runs a web application on a fleet of Amazon EC2 instances. The application experiences unpredictable traffic patterns with sudden spikes. The company configures an Auto Scaling group with dynamic scaling policies to automatically add instances when CPU utilization exceeds 70% and remove instances when it drops below 30%. This design is an example of which key characteristic of cloud computing?
medium- A.High availability
- B.Fault tolerance
- ✓ C.Elasticity
- D.Durability
Why C: Option C is correct because the Auto Scaling group's dynamic scaling policy, which adds instances when CPU utilization exceeds 70% and removes them when it drops below 30%, directly demonstrates elasticity. Elasticity is the ability to automatically provision and de-provision resources in response to real-time demand, matching capacity to workload without manual intervention. This contrasts with static provisioning, where resources are fixed regardless of load.
Variation 3. A company runs a web application on Amazon EC2 instances. The application experiences unpredictable traffic spikes during marketing campaigns. The company configures an Amazon EC2 Auto Scaling group to automatically add instances when CPU utilization exceeds 70% and remove instances when it drops below 30%. This allows the company to handle peak loads without manual intervention and avoid paying for idle capacity during low traffic periods. Which essential characteristic of cloud computing does this configuration BEST demonstrate?
medium- A.On-demand self-service
- B.Broad network access
- ✓ C.Rapid elasticity
- D.Measured service
Why C: The Auto Scaling group dynamically adjusts the number of EC2 instances in response to CPU utilization thresholds, scaling out during traffic spikes and scaling in during low traffic. This ability to rapidly provision and release compute resources to match demand is the defining characteristic of rapid elasticity, which allows the company to handle peak loads without manual intervention and avoid paying for idle capacity.
Variation 4. A company runs an e-commerce website on Amazon EC2 instances behind an Application Load Balancer. The marketing team plans to run flash sales several times a year, which cause unpredictable but massive traffic spikes. The operations team wants the infrastructure to automatically add new EC2 instances when traffic increases and remove them when traffic decreases, without any manual intervention. Which cloud computing concept does this requirement MOST directly represent?
medium- ✓ A.Elasticity
- B.Scalability
- C.High availability
- D.Fault tolerance
Why A: The requirement to automatically add EC2 instances during traffic spikes and remove them when traffic decreases directly represents elasticity. Elasticity is the ability to dynamically scale resources up or down based on real-time demand, which is precisely what the operations team needs for unpredictable flash sales. AWS Auto Scaling groups, integrated with the Application Load Balancer, automatically launch or terminate EC2 instances based on CloudWatch alarms (e.g., CPU utilization or request count), matching capacity to load without manual intervention.
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Last reviewed: Jun 11, 2026
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