Study guide
1.1 What Is Cloud Computing?
AWS Certified Cloud Practitioner CLF-C02
Track your progress as you read
Finished sections get a check mark.
1 Introduction
About the AWS Cloud Practitioner (CLF-C02) Exam Study Strategies and Exam Tips
2 Domain 1: Cloud Concepts (24%)
1.1 What Is Cloud Computing? 1.2 Cloud Deployment Models 1.3 AWS Well-Architected Framework 1.4 Cloud Migration Strategies 1.5 Cloud Economics
3 Domain 2: Security and Compliance (30%)
2.1 The AWS Shared Responsibility Model 2.2 AWS Identity and Access Management (IAM) 2.3 AWS Security Services 2.4 Compliance and Governance 2.5 Network Security
4 Domain 3: Cloud Technology and Services (34%)
3.1 AWS Compute Services 3.2 AWS Storage Services 3.3 AWS Database Services 3.4 AWS Networking and Content Delivery 3.5 Management and Governance Services 3.6 AI/ML and Analytics Services 3.7 Application Integration and Other Services
5 Domain 4: Billing, Pricing, and Support (12%)
4.1 AWS Pricing Models 4.2 Billing and Cost Management Tools 4.3 AWS Support Plans 4.4 Additional Billing Concepts and Services
6 AWS Services Deep Dive
5.1 Compute Services Deep Dive 5.2 Storage and Database Deep Dive 5.3 Security Services Deep Dive 5.4 Architecture Best Practices and Design Principles 5.5 Practice Exam — Mixed Domain Questions
1.1 What Is Cloud Computing?
Key Takeaways Explain This Topic AI
Cloud computing is the on-demand delivery of IT resources over the internet with pay-as-you-go pricing.
NIST defines five essential characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service.
The cloud converts large capital expenses (CapEx) into variable operating expenses (OpEx) and eliminates owning and maintaining physical data centers.
AWS operates 38+ Regions and 120+ Availability Zones worldwide as of 2026, with each Region built from at least three physically separated AZs.
Deploying across multiple Availability Zones is the foundation of high availability on AWS.
Last updated: October 2026
Quick Answer: Cloud computing is the on-demand delivery of compute power, database storage, applications, and other IT resources over the internet with pay-as-you-go pricing . Instead of buying, owning, and maintaining physical data centers and servers, you access technology services on an as-needed basis from a provider like AWS.
The NIST Definition
The National Institute of Standards and Technology (NIST) defines cloud computing through five essential characteristics :
Characteristic Description AWS Example
On-demand self-service Provision resources without human interaction with the provider Launch an EC2 instance via the console in minutes
Broad network access Resources available over the network via standard mechanisms Access AWS from any device with internet
Resource pooling Provider resources serve multiple consumers (multi-tenant) Many customers share the same physical hardware, logically isolated
Rapid elasticity Scale resources up or down quickly to match demand Auto Scaling adds/removes EC2 instances automatically
Measured service Usage is monitored, controlled, reported, and billed CloudWatch tracks usage; you pay only for what you consume
Traditional IT vs. Cloud Computing
Understanding the shift from traditional, on-premises IT to the cloud is essential for the exam.
- Traditional (On-Premises) IT
- Buy hardware upfront (servers, storage, networking)
- Build and staff your own data center
- Estimate capacity months or years in advance — and risk guessing wrong
- Maintain everything: hardware, cooling, power, physical security
- Capital expenditure (CapEx): large upfront investment
- Slow provisioning: weeks or months to stand up new servers
- Cloud Computing (AWS)
- Rent resources on demand — no upfront hardware purchases
- AWS manages the data centers, hardware, and infrastructure
- Scale dynamically — add or remove resources in minutes
- Pay only for what you use (metered billing)
- Operating expenditure (OpEx): variable cost based on consumption
- Fast provisioning: launch new servers in seconds
On the Exam: Expect questions comparing traditional IT with the cloud. The six advantages below are the canonical AWS answer set — memorize them.
The Six Advantages of Cloud Computing
AWS articulates six advantages that appear frequently on the exam:
Trade fixed expense for variable expense. Pay only when you consume resources and only for how much you consume, instead of investing heavily before you know how you will use it.
Benefit from massive economies of scale. Aggregated usage from hundreds of thousands of customers lets AWS achieve lower pay-as-you-go prices.
Stop guessing capacity. Access as much or as little as you need and scale up or down with a few minutes' notice — no more over- or under-provisioning.
Increase speed and agility. New resources are a click away, cutting the time to provision from weeks to minutes.
Stop spending money running and maintaining data centers. Focus on projects that differentiate your business, not the undifferentiated heavy lifting of racking, stacking, and powering servers.
Go global in minutes. Deploy to multiple Regions worldwide with a few clicks for lower latency and a better customer experience.
AWS Global Infrastructure
AWS operates one of the largest cloud infrastructures in the world. The numbers grow regularly, so treat these as approximate minimums:
- Component Description Count (2026, approximate)
- Regions Geographic areas containing multiple data centers 38+
- Availability Zones (AZs) Isolated data center groups within a Region 120+
- Edge Locations CDN points of presence for CloudFront content delivery 750+
- Local Zones Extensions of Regions closer to large population centers 30+
- Wavelength Zones AWS infrastructure embedded in telecom 5G networks 30+
- Regions
A Region is a separate geographic area (for example, us-east-1 in Northern Virginia or eu-west-1 in Ireland). Each Region is independent, and your data does not leave a Region unless you explicitly move it — critical for data sovereignty and compliance . Each AWS Region is built from a minimum of three physically separated Availability Zones.
How to choose a Region:
- Compliance / data governance: some data must remain in a specific country
- Latency: choose the Region closest to your users
- Service availability: not every service launches in every Region
- Pricing: costs vary by Region
- Availability Zones
Each Region contains multiple Availability Zones (AZs) . An AZ is one or more discrete data centers with redundant power, networking, and connectivity. AZs in a Region are interconnected by high-bandwidth, low-latency links yet are physically separated (often many kilometers apart) so a flood, fire, or power loss in one AZ does not take down another. Deploying across multiple AZs is the foundation of high availability on AWS.
Edge Locations
Edge locations are sites used by Amazon CloudFront (the CDN) and other edge services to cache content close to end users for lower latency. There are far more edge locations than Regions or AZs, putting content within a short network hop of most users worldwide.
Local Zones, Wavelength, and Outposts
Beyond Regions and AZs, AWS extends infrastructure closer to users for specialized needs. Local Zones place compute, storage, and select services in large metro areas to deliver single-digit-millisecond latency for use cases like media rendering or real-time gaming. Wavelength Zones embed AWS infrastructure inside telecom carriers' 5G networks for ultra-low-latency mobile and edge applications. AWS Outposts brings AWS hardware into your own data center for hybrid or low-latency on-premises needs.
For the exam, you do not need deep detail — just recognize each as a way AWS pushes its global infrastructure nearer to where data is produced and consumed.