- A
High availability
Why wrong: High availability ensures that the application remains operational and accessible during failures, often by using redundant infrastructure across multiple Availability Zones. The scenario describes scaling based on load, not maintaining uptime during component failures.
- B
Fault tolerance
Why wrong: Fault tolerance means a system continues to function without interruption when a component fails. The described Auto Scaling behavior handles changes in demand, not failures, and does not guarantee zero interruption on individual instance failure.
- C
Elasticity
Elasticity is the ability to automatically provision and deprovision computing resources to match current demand. The dynamic scaling policy that adds and removes instances based on CPU utilization is a direct implementation of elasticity in AWS.
- D
Durability
Why wrong: Durability refers to the assurance that stored data will not be lost and can be reliably retrieved over time. This characteristic is associated with data storage services (e.g., Amazon S3's 99.999999999% durability), not compute scaling behavior.
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. A key principle to apply: elasticity is the ability to automatically scale resources up or down based on demand.. 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 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?
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 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.
Key principle: Elasticity is the ability to automatically scale resources up or down based on demand.
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 ensures that the application remains operational and accessible during failures, often by using redundant infrastructure across multiple Availability Zones. The scenario describes scaling based on load, not maintaining uptime during component failures.
- ✗
Fault tolerance
Why it's wrong here
Fault tolerance means a system continues to function without interruption when a component fails. The described Auto Scaling behavior handles changes in demand, not failures, and does not guarantee zero interruption on individual instance failure.
- ✓
Elasticity
Why this is correct
Elasticity is the ability to automatically provision and deprovision computing resources to match current demand. The dynamic scaling policy that adds and removes instances based on CPU utilization is a direct implementation of elasticity in AWS.
Related concept
Elasticity is the ability to automatically scale resources up or down based on demand.
- ✗
Durability
Why it's wrong here
Durability refers to the assurance that stored data will not be lost and can be reliably retrieved over time. This characteristic is associated with data storage services (e.g., Amazon S3's 99.999999999% durability), not compute scaling behavior.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse elasticity with high availability or fault tolerance, but elasticity specifically refers to dynamic scaling of resources to match demand, not redundancy or failure recovery.
Trap categories for this question
Scenario analysis trap
High availability ensures that the application remains operational and accessible during failures, often by using redundant infrastructure across multiple Availability Zones. The scenario describes scaling based on load, not maintaining uptime during component failures.
Detailed technical explanation
How to think about this question
Under the hood, the Auto Scaling group uses a target tracking scaling policy with a predefined metric (CPUUtilization) to maintain the target value. The policy calculates the number of instances needed based on the metric's deviation from the target, using a proportional-integral-derivative (PID) controller-like algorithm to avoid oscillation. In real-world scenarios, sudden spikes can cause rapid scale-out events, but a cooldown period (default 300 seconds) prevents flapping by delaying subsequent scaling actions until the new instances stabilize.
KKey Concepts to Remember
- Elasticity is the ability to automatically scale resources up or down based on demand.
- Amazon EC2 Auto Scaling groups are a primary mechanism for achieving elasticity.
- Dynamic scaling policies adjust capacity based on real-time metrics like CPU utilization.
- Elasticity helps optimize costs by paying only for resources actively used.
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
Elasticity is the ability to automatically scale resources up or down based on demand.
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.
Review elasticity is the ability to automatically scale resources up or down based on demand., then practise related CLF-C02 questions on the same topic to reinforce the concept.
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FAQ
Questions learners often ask
What does this CLF-C02 question test?
Cloud Concepts — This question tests Cloud Concepts — Elasticity is the ability to automatically scale resources up or down based on demand..
What is the correct answer to this question?
The correct answer is: Elasticity — 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.
What should I do if I get this CLF-C02 question wrong?
Review elasticity is the ability to automatically scale resources up or down based on demand., then practise related CLF-C02 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Elasticity is the ability to automatically scale resources up or down based on demand.
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Last reviewed: Jun 11, 2026
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