CLF-C02 Cloud Concepts Practice Question
A startup is evaluating cloud vs. on-premises for their new product. Which cloud characteristic means they can experiment with 10 servers for a week, then scale to 1,000 servers for a product launch, and back to 10 afterward — paying only for what they use?
⚠ Common exam trap
It's easy for candidates to confuse elasticity with durability or high availability, mistakenly thinking that data persistence or uptime guarantees enable scaling, when in fact elasticity is specifically about dynamic resource adjustment and pay-as-you-go is about cost alignment.
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 and pay-as-you-go pricing
Elasticity is the cloud characteristic that allows resources to automatically scale up or down based on demand, while pay-as-you-go pricing ensures you only incur costs for resources actually consumed. In this scenario, the startup can provision 10 servers for a week, scale to 1,000 servers for a launch, and then scale back to 10 — paying only for the compute hours used during each period. This combination of rapid scaling and consumption-based billing is unique to cloud computing and directly supports the described experimental and production workloads.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Durability
Why it's wrong here
Durability in AWS refers to the permanent protection of stored data against loss or corruption, typically achieved through redundant replication across Availability Zones, such as S3's 99.999999999% durability. It is a data integrity guarantee, not a compute-scaling or financial model. The scenario's ability to grow from 10 to 1,000 servers and only pay for usage is about resource provisioning and billing, not data preservation.
- ✓
Elasticity and pay-as-you-go pricing
Why this is correct
Elasticity lets AWS infrastructure automatically scale compute capacity up or down—from 10 to 1,000 EC2 instances—in response to demand, while pay-as-you-go pricing bills only for the actual server-hours consumed. Together they eliminate the need to over-provision for peak loads, converting fixed capital expenditure into variable operational expenditure. This directly matches the described scenario of scaling compute on demand and avoiding idle capacity costs.
- ✗
Multi-tenancy
Why it's wrong here
Multi-tenancy is a shared-infrastructure architecture where multiple AWS customers use the same physical hardware, with logical isolation enforced via hypervisors or container runtimes. It is a security and resource-sharing characteristic, not a mechanism for dynamic scaling or usage-based billing. The scenario's focus on expanding server count and paying per use is unrelated to how tenants share underlying resources.
- ✗
Service Level Agreement (SLA)
Why it's wrong here
A Service Level Agreement (SLA) is a contractual commitment from AWS that guarantees a minimum level of service availability, such as 99.99% uptime for EC2, with credits if the commitment is breached. It defines reliability expectations and remedial remedies, not the ability to scale resources on demand or a pay-per-consumption pricing structure. The described scenario is about operational agility and cost proportionality, neither of which an SLA provides or controls.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.