← CLF-C02·Amazon Web Services

Question 77 of 1,024

Cloud Concepts →mediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is elasticity, the cloud computing concept that best describes automatically scaling resources to match unpredictable demand. Elasticity is the ability of a system to dynamically provision and de-provision compute capacity in real time, directly aligning infrastructure costs with actual load. In the AWS Cloud, this is achieved through Auto Scaling groups, which launch EC2 instances during traffic spikes and terminate them when demand drops, preventing both over-provisioning waste and under-provisioning outages. On the AWS Certified Cloud Practitioner CLF-C02 exam, this concept frequently appears in scenario-based questions contrasting elasticity with scalability—elasticity handles automatic, short-term fluctuations, while scalability often refers to planned, long-term growth. A common trap is confusing elasticity with high availability; remember that elasticity is about adjusting *capacity*, not maintaining uptime. For a memory tip, think of a rubber band: it stretches out when you pull (traffic spike) and snaps back when you release (low traffic), always returning to its original size to save material—just like elasticity saves cost.

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 a web application on AWS that experiences unpredictable traffic spikes. The company wants to configure its infrastructure to automatically increase compute capacity during peak times and decrease it during low traffic, minimizing costs. Which cloud computing concept does this scenario BEST represent?

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.

Question 1mediummultiple choice

Full question →

A
Elasticity
Correct. Elasticity allows automatic scaling of resources to match demand, which directly addresses the need to handle traffic spikes and reduce costs during low usage.
B
High availability
Why wrong: Incorrect. High availability ensures that applications remain accessible despite failures by using redundant components and automated failover, but it does not inherently adjust capacity based on traffic volume.
C
Fault tolerance
Why wrong: Incorrect. Fault tolerance enables a system to continue operating without interruption when one or more components fail. It does not address scaling capacity up or down in response to demand changes.
D
Vertical scaling
Why wrong: Incorrect. Vertical scaling increases the size (CPU, memory) of an existing instance, which is a specific scaling method. However, it is not automatically reversible and does not represent the dynamic, demand-based adjustment described in the scenario.

Full breakdown with real-world context →

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

Elasticity is the ability of a cloud system to automatically provision and de-provision compute resources in response to real-time demand. In this scenario, AWS Auto Scaling groups can dynamically launch EC2 instances during traffic spikes and terminate them when demand drops, directly matching capacity to load while minimizing cost. This contrasts with static provisioning, which would either over-provision (wasting money) or under-provision (causing outages).

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 allows automatic scaling of resources to match demand, which directly addresses the need to handle traffic spikes and reduce costs during low usage.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
High availability
Why it's wrong here
Incorrect. High availability ensures that applications remain accessible despite failures by using redundant components and automated failover, but it does not inherently adjust capacity based on traffic volume.
✗
Fault tolerance
Why it's wrong here
Incorrect. Fault tolerance enables a system to continue operating without interruption when one or more components fail. It does not address scaling capacity up or down in response to demand changes.
✗
Vertical scaling
Why it's wrong here
Incorrect. Vertical scaling increases the size (CPU, memory) of an existing instance, which is a specific scaling method. However, it is not automatically reversible and does not represent the dynamic, demand-based adjustment described in the scenario.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse elasticity with high availability, because both involve handling increased load, but elasticity specifically addresses dynamic resource scaling to match demand, not just distributing traffic across redundant components.

Trap categories for this question

Scenario analysis trap
Incorrect. Vertical scaling increases the size (CPU, memory) of an existing instance, which is a specific scaling method. However, it is not automatically reversible and does not represent the dynamic, demand-based adjustment described in the scenario.

Detailed technical explanation

How to think about this question

Under the hood, AWS Auto Scaling uses CloudWatch alarms based on metrics like CPUUtilization or RequestCountPerTarget to trigger scaling policies. A target tracking scaling policy, for example, maintains a target metric value (e.g., 50% CPU) by adjusting the desired count of EC2 instances in an Auto Scaling group. A subtle behavior is the cooldown period (default 300 seconds) that prevents rapid scaling oscillations, which can cause thrashing if not tuned correctly. In a real-world scenario, an e-commerce site using a predictive scaling policy can forecast traffic based on historical patterns, pre-warming capacity before a flash sale.

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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

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: Elasticity — Elasticity is the ability of a cloud system to automatically provision and de-provision compute resources in response to real-time demand. In this scenario, AWS Auto Scaling groups can dynamically launch EC2 instances during traffic spikes and terminate them when demand drops, directly matching capacity to load while minimizing cost. This contrasts with static provisioning, which would either over-provision (wasting money) or under-provision (causing outages).

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.

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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.