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Microsoft Certified: Azure Fundamentals remains active in 2026 and uses AZ-900. Microsoft's current skills outline, effective July 20, 2026, divides the exam into cloud concepts, Azure architecture and services, and Azure management and governance. It is a foundational credential rather than a prerequisite for later role-based certifications.
AZ-900 is the conceptual Azure entry point among Microsoft certifications. Administrators, developers, data professionals, security practitioners, managers, and business stakeholders can all use the same foundational model before their later paths diverge.
The current weighting makes Azure architecture and services the largest area, but the three domains reinforce one another. Cloud concepts explain why a service model behaves differently, architecture explains where resources live and how they connect, and management/governance explains how organizations control those resources at scale. Candidates should therefore practice moving from a business requirement to the appropriate service category and then to the control plane that governs it.
The current exam expects candidates to understand cloud computing, the shared responsibility model, public/private/hybrid deployment models, consumption-based pricing, scalability, elasticity, high availability, reliability, and the differences between IaaS, PaaS, and SaaS.
Those concepts should be learned as tradeoffs. IaaS gives customers more control and more operational responsibility; PaaS removes more infrastructure work; SaaS shifts even more of the stack to the provider. The same logic applies to cloud economics: usage-based services can reduce upfront investment but still create waste when resources are oversized, idle, or poorly governed.
The comparison between AWS Cloud Practitioner and Azure Fundamentals can help candidates see which cloud concepts transfer across providers and which terminology is Azure-specific.
High availability, fault tolerance, scalability, and elasticity are related but different design goals. A system can scale without being resilient, and it can be highly available without automatically reducing cost. Fundamentals questions often become straightforward once the requirement is translated into the correct quality: handle more demand, survive a failure, recover from a disruption, or pay only for changing usage.
The shared responsibility model also changes by service type. Moving from virtual machines toward managed platforms reduces the operating-system and infrastructure work owned by the customer, but responsibility for identities, data, configuration, and access does not disappear. This is one of the most important concepts to carry into later Azure security and administration roles.
Azure architecture begins with physical and logical boundaries. Regions and availability zones influence resilience and data placement. Subscriptions establish billing and governance boundaries. Resource groups organize related resources. Management groups allow policy and access decisions to be applied higher in the hierarchy.
Azure Resource Manager is central because it provides the control plane through which Azure resources are deployed, organized, secured, and governed.
These scopes affect both design and governance. A resource group is a lifecycle and management container, a subscription creates a stronger billing and access boundary, and management groups allow policy or role decisions to be inherited across subscriptions. Regions and zones, by contrast, are placement and resilience concepts. Mixing those two categories leads to many beginner mistakes.
AZ-900 expects candidates to distinguish virtual machines, virtual machine scale sets, Azure Virtual Desktop, container options, Azure Functions, and application-hosting services at a conceptual level. The exam is not asking for AZ-104 implementation depth; it is asking which service model fits a requirement and how much operational responsibility comes with it.
Understanding Azure virtual machines helps establish the IaaS end of that spectrum, while container and serverless services show how Azure can manage more of the underlying infrastructure.
Virtual machines are the clearest IaaS example because the customer manages the guest operating system and much of the software stack. App Service, Functions, and other managed platforms reduce that responsibility, while containers package applications differently from full VMs. The correct choice depends on control, portability, scaling behavior, operational overhead, and workload design rather than on one service being universally better.
Virtual networks, subnets, peering, public and private IPs, VPN gateways, ExpressRoute, DNS, network security, and load balancing all appear at a foundational level. Candidates should understand the purpose of each component before trying to learn implementation steps.
Azure virtual networking provides deeper context for address spaces and connectivity, while Azure Load Balancer illustrates how traffic distribution and availability fit into cloud architecture.
Networking fundamentals should be connected to service reachability. VNets and subnets define address spaces, routing determines the path, security controls determine whether traffic is permitted, and public or private endpoints determine how a service is exposed. Peering connects networks without turning them into one address space, and name resolution still matters even when IP connectivity is correct.
Azure Storage includes object, file, queue, and disk-related services with different performance, redundancy, and access characteristics. Candidates should understand the purpose of storage accounts, redundancy options, access tiers, and the difference between data services rather than memorizing every setting.
Azure Storage is useful when candidates need to see how resilience, lifecycle, performance, and security decisions affect data after it is placed in the cloud.
Object, file, queue, and table-style storage solve different application needs. Redundancy options determine which failures data can survive, while access tiers and lifecycle rules influence cost for frequently or rarely accessed data. A fundamentals candidate should be able to explain the choice in business terms—data shape, access frequency, resilience, performance, and price—not simply recognize product names.
The current AZ-900 outline includes Microsoft Entra ID, single sign-on, multifactor authentication, passwordless authentication, external identities, Conditional Access, RBAC, Zero Trust, defense in depth, and Microsoft Defender for Cloud.
Conditional Access in Microsoft Entra ID shows how access decisions can depend on identity, device, location, risk, and authentication requirements rather than network location alone.
Microsoft Entra ID provides cloud identity, while Azure role-based access control governs what identities can do at Azure scopes. Authentication proves who the principal is; authorization determines permitted actions. Security services, network controls, and resource configuration build on that distinction, so it is worth mastering before moving into AZ-104 or security-focused credentials.
AZ-900 gives significant attention to pricing factors, the pricing calculator, Azure Cost Management, tags, Microsoft Purview, Azure Policy, and resource locks. These topics matter because cloud resources are easy to create; the harder problem is keeping ownership, cost, compliance, and lifecycle visible as usage grows.
Azure cost optimization is a natural extension of the exam because good cloud economics comes from architecture, sizing, lifecycle, commitment choices, and governance—not simply finding the cheapest service.
Budgets and cost analysis help observe spending, but governance also includes policy, locks, tags, RBAC, and organizational structure. A tag can improve reporting without preventing a bad deployment; Azure Policy can evaluate or enforce configuration; a resource lock can protect against accidental deletion or modification. Knowing the purpose of each control prevents governance questions from becoming a vocabulary exercise.
The current outline includes the Azure portal, Cloud Shell, Azure CLI, Azure PowerShell, Azure Arc, infrastructure as code, Azure Resource Manager, and ARM templates. Candidates should understand why repeatable templates become more important as environments grow.
Azure Resource Manager templates help connect the foundational idea of infrastructure as code to an Azure-native deployment model.
The portal is useful for discovery and one-off administration, while CLI, PowerShell, templates, and Bicep make repeatable deployment possible. Fundamentals candidates do not need deep infrastructure-as-code expertise, but they should understand why declarative deployment improves consistency and why Azure Resource Manager is the common control plane underneath these management methods.
Azure Advisor, Azure Service Health, Azure Monitor, Log Analytics, alerts, and Application Insights help organizations understand performance, reliability, security, and platform events. A deployment is not operationally complete if nobody can tell whether it is healthy.
Azure monitoring uses metrics, logs, alerts, and telemetry to show whether deployed resources are healthy and to provide evidence when behavior differs from expectations.
Metrics, logs, alerts, and service-health information answer different operational questions. Metrics are suited to numeric time-series behavior, logs provide richer event and diagnostic context, alerts turn conditions into action, and platform health information helps distinguish a customer configuration problem from a broader Azure incident.
Candidates who want to administer Azure environments can move into Azure Administrator Associate. AZ-900 is not required first, but it gives newcomers the conceptual framework that makes identity, storage, compute, networking, governance, and monitoring labs easier to understand.
Moving to AZ-104 changes the expected depth dramatically. Concepts such as VNets, storage, identity, governance, monitoring, and compute become configuration and troubleshooting tasks. Candidates who can already explain why each Azure service exists will spend less time memorizing terminology and more time learning the administrator's operational controls.
AZ-900 itself does not require deep hands-on administration, but a small lab greatly improves retention: create a resource group, deploy a simple resource, inspect its region and subscription, apply a tag, view cost and monitoring information, and then delete the resource cleanly. That short workflow connects architecture, governance, management, and consumption in one experience.
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