Question 847 of 1,024
Cloud ConceptsmediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is rapid elasticity, as this scenario perfectly demonstrates the cloud computing characteristic defined by NIST SP 800-145: the ability to provision and release cloud resources automatically and quickly in response to fluctuating demand. Here, AWS automatically scales EC2 instances from 1,000 to 100,000 concurrent users in under five minutes and terminates them when the promotional event ends, which is the textbook definition of rapid elasticity in cloud computing. On the AWS Certified Cloud Practitioner CLF-C02 exam, this concept often appears in scenario-based questions that test your ability to distinguish rapid elasticity from scalability or high availability—a common trap is confusing it with scalability, which is the broader capability to handle growth, while elasticity specifically emphasizes automatic, rapid scaling both up and down. Remember the memory tip: elasticity is like a rubber band that stretches and snaps back automatically, while scalability is like building a bigger bridge that stays large.

CLF-C02 Cloud Concepts Practice Question

This CLF-C02 practice question tests your understanding of cloud concepts. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 retail website on AWS. During a promotional event, the website's traffic spikes from 1,000 concurrent users to 100,000 concurrent users in under 5 minutes. The AWS infrastructure automatically provisions additional Amazon EC2 instances to handle the increased load and terminates them when the event ends. Which essential characteristic of cloud computing does this scenario best demonstrate?

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
Read the full NAT/PAT explanation →

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

The scenario describes the automatic scaling of EC2 instances from 1,000 to 100,000 concurrent users in under 5 minutes, and then terminating them when the event ends. This directly demonstrates rapid elasticity, which is the ability to provision and release cloud resources quickly and automatically in response to demand, a core characteristic defined by the NIST SP 800-145 standard.

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.

  • On-demand self-service

    Why it's wrong here

    On-demand self-service allows users to provision resources without requiring human interaction with the service provider. While the scenario involves automatic provisioning, the key is the speed of scaling in response to demand, which is more specifically captured by rapid elasticity. On-demand self-service is about the ability to initiate provisioning, not the automatic scaling behavior described.

  • Broad network access

    Why it's wrong here

    Broad network access means that resources are accessible over the network from a variety of client platforms (e.g., mobile phones, laptops). The scenario focuses on scaling capacity to handle traffic, not on the network accessibility of the resources.

  • Rapid elasticity

    Why this is correct

    Rapid elasticity is the ability to quickly and automatically scale resources up and down in response to fluctuating demand. The automatic addition and removal of EC2 instances during a traffic spike perfectly illustrates this characteristic, as the system adapts to the workload in near real-time.

    Clue confirmation

    The clue word "best" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Resource pooling

    Why it's wrong here

    Resource pooling refers to the provider's computing resources being pooled to serve multiple customers using a multi-tenant model, with physical and virtual resources dynamically assigned. The scenario does not address multi-tenancy or location independence; it focuses on scaling capacity for a single application.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse 'rapid elasticity' with 'on-demand self-service' because both involve provisioning resources without manual intervention, but on-demand self-service is about the user's ability to provision resources on their own, while rapid elasticity is about the system automatically scaling resources up and down to meet demand.

Trap categories for this question

  • Scenario analysis trap

    On-demand self-service allows users to provision resources without requiring human interaction with the service provider. While the scenario involves automatic provisioning, the key is the speed of scaling in response to demand, which is more specifically captured by rapid elasticity. On-demand self-service is about the ability to initiate provisioning, not the automatic scaling behavior described.

Detailed technical explanation

How to think about this question

Under the hood, AWS Auto Scaling groups use Amazon EC2 Auto Scaling with target tracking scaling policies or step scaling policies that monitor CloudWatch metrics like CPU utilization or request count per target. When the metric breaches a threshold, the Auto Scaling group launches new instances from a pre-configured Amazon Machine Image (AMI) and registers them with a load balancer (e.g., ALB) in seconds to minutes. A subtle behavior is the cooldown period, which prevents Auto Scaling from launching or terminating additional instances before the previous scaling activity takes effect, but this can be overridden with a 'scale-out' cooldown of 0 for aggressive scaling scenarios like flash sales.

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.

Related practice questions

Related CLF-C02 practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

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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 — The scenario describes the automatic scaling of EC2 instances from 1,000 to 100,000 concurrent users in under 5 minutes, and then terminating them when the event ends. This directly demonstrates rapid elasticity, which is the ability to provision and release cloud resources quickly and automatically in response to demand, a core characteristic defined by the NIST SP 800-145 standard.

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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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 gaming company launches a new online multiplayer game. During peak hours (evenings and weekends), the player count spikes dramatically, requiring dozens of Amazon EC2 instances to handle the load. During off-peak hours, the player count drops to near zero. The company configures an Amazon EC2 Auto Scaling group that automatically adds instances when CPU utilization exceeds 70% and removes instances when utilization drops below 30%. Which characteristic of cloud computing does this configuration best demonstrate?

medium
  • A.High availability
  • B.Elasticity
  • C.Fault tolerance
  • D.Global reach

Why B: Elasticity is the ability of a cloud system to automatically scale resources up or down based on demand. In this scenario, the Auto Scaling group dynamically adds EC2 instances when CPU utilization exceeds 70% and removes them when it drops below 30%, directly matching the fluctuating player load. This demonstrates elasticity because resources are provisioned and de-provisioned in real-time to match the exact workload, minimizing cost during low usage and ensuring performance during spikes.

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Last reviewed: Jun 11, 2026

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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.