CLF-C02 Cloud Concepts Practice Question
AWS builds and operates large physical data centres and uses virtualisation to serve thousands of customers simultaneously on shared hardware while keeping each customer's data logically isolated. Which cloud computing characteristic does this describe?
⚠ Common exam trap
It's easy for candidates to confuse resource pooling with rapid elasticity, because both involve dynamic allocation, but resource pooling is about the shared infrastructure model, while rapid elasticity is about the speed of scaling resources up or down.
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
✓
Resource pooling
Resource pooling is the correct answer because AWS uses virtualization to aggregate physical hardware from its data centers into a shared pool of compute, storage, and network resources that can be dynamically assigned and reassigned to multiple customers. Each customer's data remains logically isolated through hypervisor-level isolation (e.g., using Xen or Nitro hypervisors), but the underlying hardware is shared, which is the essence of resource pooling as defined by NIST SP 800-145.
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 customers to unilaterally provision resources through a web console or API without human interaction from the provider. It is a consumer-facing capability that replaces manual provisioning processes, not a statement about how the provider pools its physical hardware to serve multiple tenants. The question's core idea is the provider-side shared-infrastructure model, not the customer's provisioning convenience.
- ✗
Measured service
Why it's wrong here
Measured service means the cloud automatically monitors and controls resource usage, such as compute, storage, and bandwidth, and provides metering data for pay-per-use billing and optimization. It addresses usage transparency and cost allocation, not the architectural pattern of virtualized multi-tenant resource sharing. The correct answer focuses on pooling physical infrastructure, whereas measured service is about consumption tracking.
- ✓
Resource pooling
Why this is correct
Resource pooling is the cloud characteristic in which the provider aggregates physical and virtual computing resources into a common pool and dynamically assigns them to multiple customers or tenants on demand. Using virtualization technologies such as hypervisors and software-defined networking, each tenant's workload runs in isolated virtual environments while sharing the same underlying physical servers, storage, and network. The provider can assign or reassign resources among tenants without exposing the physical location, and customers' data remains logically isolated despite shared hardware. This directly matches the scenario's description of provider resources serving multiple customers simultaneously with logical separation.
- ✗
Rapid elasticity
Why it's wrong here
Rapid elasticity describes the ability to provision and release compute/storage resources automatically to scale in and out with demand. While multi-tenant resource pooling can support economies of scale, this characteristic focuses on dynamic scaling speed, not on the provider's shared-infrastructure design. The scenario centers on physical resources serving multiple customers simultaneously, which elasticity does not address.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
Go deeper
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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.