- A
High availability
Why wrong: High availability focuses on ensuring that an application remains operational and accessible during component failures, typically by distributing workloads across multiple Availability Zones. While Auto Scaling can contribute to availability by replacing failed instances, the primary purpose of this scenario is to match capacity to demand, not to maintain uptime during failures.
- B
Elasticity
Elasticity is the correct answer. It refers to the ability to dynamically scale infrastructure resources up and down based on real-time demand. The Auto Scaling group automatically adjusts the number of EC2 instances in response to CPU utilization, which is a textbook example of elasticity.
- C
Fault tolerance
Why wrong: Fault tolerance is the ability of a system to continue operating without interruption when one or more of its components fail. While Auto Scaling can replace failed instances, fault tolerance typically involves redundancy (e.g., multiple servers, databases) so that no single point of failure exists. The scenario emphasizes scaling to handle load changes, not surviving failures.
- D
Disaster recovery
Why wrong: Disaster recovery involves strategies and processes to recover IT infrastructure and data after a catastrophic event, such as a natural disaster or large-scale outage. It often includes backups, replication across Regions, and failover procedures. This scenario is about adjusting capacity in real time, not recovering from a disaster.
CLF-C02 Cloud Concepts Practice Question
This CLF-C02 practice question tests your understanding of cloud concepts. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 startup runs an e-commerce website on AWS. During flash sales, traffic can increase 10x in a few minutes. The startup uses an Auto Scaling group to automatically launch additional EC2 instances when CPU utilization exceeds 70% and terminate them when utilization drops below 30%. This approach ensures that the application always has enough capacity to handle the load without manual intervention, and they only pay for what they use. Which cloud computing concept does this scenario BEST illustrate?
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.
Clue:
"always"Why it matters: Absolute qualifier. An answer using 'always' is only correct if there are genuinely no exceptions — absolute statements are often wrong in networking.
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
Option B is correct because elasticity is the ability of a cloud system to automatically scale resources up or down based on demand. The Auto Scaling group dynamically adds EC2 instances when CPU utilization exceeds 70% and terminates them when it drops below 30%, ensuring capacity matches load without manual intervention. This pay-per-use model is a hallmark of elasticity, not just high availability or fault tolerance.
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.
- ✗
High availability
Why it's wrong here
High availability focuses on ensuring that an application remains operational and accessible during component failures, typically by distributing workloads across multiple Availability Zones. While Auto Scaling can contribute to availability by replacing failed instances, the primary purpose of this scenario is to match capacity to demand, not to maintain uptime during failures.
- ✓
Elasticity
Why this is correct
Elasticity is the correct answer. It refers to the ability to dynamically scale infrastructure resources up and down based on real-time demand. The Auto Scaling group automatically adjusts the number of EC2 instances in response to CPU utilization, which is a textbook example of elasticity.
Clue confirmation
The clue words "best", "always" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Fault tolerance
Why it's wrong here
Fault tolerance is the ability of a system to continue operating without interruption when one or more of its components fail. While Auto Scaling can replace failed instances, fault tolerance typically involves redundancy (e.g., multiple servers, databases) so that no single point of failure exists. The scenario emphasizes scaling to handle load changes, not surviving failures.
- ✗
Disaster recovery
Why it's wrong here
Disaster recovery involves strategies and processes to recover IT infrastructure and data after a catastrophic event, such as a natural disaster or large-scale outage. It often includes backups, replication across Regions, and failover procedures. This scenario is about adjusting capacity in real time, not recovering from a disaster.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse elasticity with high availability, but elasticity is about scaling resources to match demand, while high availability is about maintaining uptime through redundancy and failover mechanisms.
Trap categories for this question
Scenario analysis trap
High availability focuses on ensuring that an application remains operational and accessible during component failures, typically by distributing workloads across multiple Availability Zones. While Auto Scaling can contribute to availability by replacing failed instances, the primary purpose of this scenario is to match capacity to demand, not to maintain uptime during failures.
Detailed technical explanation
How to think about this question
Under the hood, AWS Auto Scaling uses CloudWatch alarms to trigger scaling policies; the 70% CPU threshold is a simple metric, but in production, you might use a target tracking policy with a predefined metric like 'Average CPU Utilization' to maintain a target value. A subtle behavior is the cooldown period, which prevents rapid scaling oscillations by pausing further scaling actions for a set time after a scaling activity completes. In a real-world flash sale, if the scaling policy is too aggressive, it could lead to thrashing, where instances are launched and terminated repeatedly, increasing costs and latency.
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.
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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 — Option B is correct because elasticity is the ability of a cloud system to automatically scale resources up or down based on demand. The Auto Scaling group dynamically adds EC2 instances when CPU utilization exceeds 70% and terminates them when it drops below 30%, ensuring capacity matches load without manual intervention. This pay-per-use model is a hallmark of elasticity, not just high availability or fault tolerance.
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", "always". 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
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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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