AzureAZ-900

Azure Cloud Concepts Explained for Microsoft Azure Fundamentals AZ-900

Before you touch a single Azure portal setting, the AZ-900 exam expects you to understand why cloud computing exists and what makes it fundamentally different from owning hardware. The exam opens with cloud concepts for the same reason a driving test covers traffic laws before parallel parking: the concepts are the foundation for every practical decision that follows. Knowing the difference between CapEx and OpEx, the three cloud service models, and the shared responsibility model tells you why Azure services are priced and structured the way they are.

7 min
3 sections · 7 exam key points

Cloud computing fundamentals

Cloud computing delivers computing services over the internet. The business case rests on a shift from capital expenditure to operational expenditure. Capital expenditure (CapEx) means buying assets upfront: servers, storage, networking hardware, data center space. All of that spending happens before a single user logs in, and the asset depreciates over its lifetime whether or not you are using it. Operational expenditure (OpEx) means paying for what you consume as you consume it, like an electricity bill. Cloud turns IT infrastructure into an OpEx model.

Consumption-based pricing means you pay for the actual resources used: compute hours, gigabytes of storage, gigabytes of data transferred. This model provides predictability (you can estimate costs based on projected usage), scalability (you can increase resources without hardware procurement), and elasticity (you can scale down and stop paying when demand drops).

The cloud benefits Azure emphasizes across its documentation: high availability (resources remain accessible with minimal downtime), scalability (handle increased demand), elasticity (automatically scale and release resources), agility (deploy new capabilities quickly), disaster recovery (geographic redundancy without owning multiple data centers), and security (built-in controls and compliance certifications).

Service models, deployment models, and Azure global infrastructure

The three cloud service models define how much of the stack Azure manages versus how much you manage. Infrastructure as a Service (IaaS) gives you virtual machines, networking, and storage. You manage the operating system, runtime, and application. Platform as a Service (PaaS) removes OS and runtime management. You deploy your application code and Azure manages the underlying platform. Azure App Service and Azure SQL Database are PaaS. Software as a Service (SaaS) delivers fully managed applications over the internet. Microsoft 365 is SaaS: you use the software but manage none of the infrastructure.

Deployment models describe where the infrastructure runs. Public cloud uses Microsoft's infrastructure shared across many customers. Private cloud uses dedicated infrastructure controlled by one organization, often on-premises using Azure Stack HCI. Hybrid cloud connects on-premises infrastructure to Azure, enabling data and applications to run where they are best suited. Multi-cloud uses services from multiple cloud providers.

Azure's global infrastructure consists of Regions (geographic areas containing one or more datacenters), Availability Zones (physically separate datacenters within a region with independent power, cooling, and networking), and Region Pairs (two regions within the same geography that Azure replicates data between for disaster recovery). Azure operates in more than 60 regions across the globe.

How to choose the correct answer

CapEx: upfront hardware purchase, depreciates over time. OpEx: pay-as-you-go consumption billing. Cloud = OpEx model.

IaaS: you manage OS and up. PaaS: you manage application and data only. SaaS: you manage nothing, just use the app.

Public cloud: shared infrastructure, Microsoft-owned. Private cloud: dedicated, one organization. Hybrid: on-premises + cloud connected.

Region: geographic cluster of datacenters. Availability Zone: isolated datacenter within a region, independent power.

Region Pairs: two paired regions for disaster recovery. Azure replicates certain services automatically to the paired region.

High availability: stay up. Scalability: handle more load. Elasticity: auto-scale up and down. Agility: deploy quickly.

Key exam facts — AZ-900

  • CapEx: fixed upfront cost, hardware ownership. OpEx: ongoing consumption cost, cloud model.
  • IaaS: VMs and networking. PaaS: managed platform for app deployment. SaaS: fully managed applications.
  • Shared responsibility: Microsoft manages physical infrastructure. Customer manages identity, data, and configuration.
  • Region: 60+ globally. Availability Zone: 3 per supported region, physically isolated datacenters.
  • Region Pairs: geographically separated paired regions for built-in disaster recovery.
  • High availability SLA: tied to deployment across Availability Zones. Single VM = 99.9%, Zones = 99.99%.
  • Consumption-based pricing: pay for what you use. Fixed pricing: reserve at a set price.

Common exam traps

PaaS gives you full control over the operating system and middleware.

PaaS abstracts the operating system and runtime away from you. Azure manages OS patching, runtime updates, and infrastructure scaling. You deploy application code and configure the platform service, but you cannot access or manage the underlying OS. If you need OS-level control, IaaS (virtual machines) is the correct choice.

Availability Zones and Regions provide the same level of redundancy.

Regions are geographic areas that could include multiple cities or countries. Availability Zones are isolated datacenters within a single region. A region-level failure (rare) takes down all AZs in that region. Deploying across Regions provides higher resilience than deploying across AZs in one region, but adds latency and complexity. AZ redundancy addresses datacenter failures; Region redundancy addresses region-level disasters.

Hybrid cloud just means using two different cloud providers.

Hybrid cloud specifically means connecting on-premises infrastructure to a public cloud (like Azure). Using two public clouds is multi-cloud, not hybrid. Hybrid architectures are common during cloud migration phases when some workloads remain on-premises due to latency requirements, regulatory constraints, or migration timing.

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