AZ-104 Study Method: Practice Azure Administration, Not Portal Memory

Microsoft AZ-104 remains the active exam for Microsoft Certified: Azure Administrator Associate in 2026. Microsoft’s current skills outline, measured as of April 17, 2026, covers identity and governance, storage, compute, virtual networking, and monitoring and maintenance. Those domains overlap heavily in real Azure environments, so a strong study method should connect them rather than treat them as isolated chapters.

The best preparation for AZ-104 is operational practice. The Microsoft AZ-104 learning center supplies the topic map; the method here is to connect those topics inside one environment you can configure, safely break, and troubleshoot. An Azure administrator is expected to implement, manage, secure, and monitor an environment while working with networking, security, database, development, and DevOps specialists. That means the exam rewards understanding of resource behavior, scope, dependencies, and troubleshooting more than memorized portal navigation.

The Azure Administrator Associate role also expects familiarity with PowerShell, Azure CLI, the Azure portal, ARM templates or Bicep, and Microsoft Entra ID. A useful plan therefore combines concepts, labs, command-line practice, and evidence-based troubleshooting.

Use the official objective areas as a coverage map, but organize your actual practice around services that interact. An identity assignment affects storage and compute. A network rule affects private access. Diagnostic settings affect troubleshooting. Backup and recovery depend on the resources being protected. The exam is easier when those relationships are familiar from hands-on work.

Build one subscription lab that connects all five domains

Instead of creating unrelated exercises, build a small environment that forces Azure services to interact. Use a resource group, virtual network, subnets, storage account, one or more virtual machines, identities, role assignments, monitoring, and backup. Apply tags and policy so governance is part of the environment from the beginning.

This makes dependencies visible. A VM needs networking, disks, identity, monitoring, and access controls at the same time. A storage account can have correct permissions but still be unreachable because of network rules. A user can sign in successfully and still lack authorization at the resource scope.

Keep a simple architecture diagram and update it as the lab grows. If you cannot explain the resource path without opening the portal, you probably do not yet understand the environment well enough for scenario questions.

Use consistent naming and a small number of resource groups so the lab stays understandable. Add tags for owner, environment, and purpose. Then inspect resources through the portal, Azure CLI, and PowerShell so you learn that the same Azure resource model sits behind different management surfaces.

Study identity and governance through scope and inheritance

Microsoft Entra identities, Azure RBAC, management groups, subscriptions, resource groups, Azure Policy, locks, and tags solve different administrative problems. The fastest way to confuse them is to memorize definitions without applying scope.

Create role assignments at several levels and test what a user can do. Apply a policy that audits or restricts a resource property. Add a resource lock and observe which actions it blocks. Use tags for organization and cost visibility, then verify that tags do not create a security boundary.

Authentication, authorization, governance, and resource organization describe different responsibilities. The Microsoft Entra ID and Azure governance scenarios give you a way to separate a failed sign-in from a missing role assignment or a resource policy denial. Diagnose the controlling layer before changing a permission.

Include managed identities in the lab. Give a workload access to one resource without storing a user password or long-lived secret, then remove the role assignment and observe the difference between having an identity and having permission. This makes the authentication-versus-authorization distinction concrete.

Turn storage into a design exercise instead of a feature list

Storage questions combine account types, redundancy, Blob Storage, Azure Files, access tiers, lifecycle, security, networking, encryption, and data movement. Study them from a workload. What is being stored? How frequently is it accessed? What durability is required? Which clients need access? How should authorization work?

Configure a storage account with identity-based access and compare it with other access mechanisms. Restrict the network path, then restore access deliberately. Create blobs in different access tiers and observe the operational meaning of moving data to colder storage.

In Azure storage scenarios, a user may hold the correct data role but still fail to reach a private storage endpoint. Test identity, network reachability, and storage configuration separately; the exam rewards finding the actual constraint rather than naming another Azure feature.

Practice lifecycle and recovery as well. Upload versioned content, apply a retention or lifecycle rule in a disposable lab, and test how you would restore or retrieve data. The point is to connect cost, availability, and access behavior rather than study them as independent storage facts.

Practice compute as a complete workload lifecycle

Virtual machines, scale sets, App Service, and container services appear in AZ-104 because administrators need to deploy and operate compute, not merely define it. A useful lab should include sizing, disks, availability, networking, identity, extensions, scaling, and monitoring.

Deploy a VM manually once, then reproduce the environment with Bicep or an ARM template. Change a parameter and verify what the deployment modifies. This teaches both the resource model and the difference between imperative administration and declarative infrastructure.

A running virtual machine is only the beginning of Azure compute administration. Rehearse disk changes, extension failures, scaling decisions, and recovery from a failed deployment. Verify both the changed resource and the user-facing workload after each operation.

Compare the operational model across compute types. A VM gives more operating-system control and more maintenance responsibility. App Service abstracts more infrastructure. Container services have their own scaling and networking behavior. The exam often tests which model fits the requirement, not which service sounds more advanced.

Trace virtual networking packet by packet

Azure networking becomes easier when you draw the path. Identify the source IP, destination, DNS resolution, subnet, route, network security group, peering, private endpoint, load balancer, or other service involved. Then ask which component can affect connectivity and which cannot.

Practice with one deliberately broken condition at a time. Change an NSG rule, DNS record, route, peering setting, or private-endpoint configuration and observe the symptom. Restore it only after you can explain why the change produced that result.

This prevents a common exam mistake: choosing a security rule when the problem is routing, or changing a route when the actual issue is name resolution. Good administrators isolate layers before they change them.

Use Network Watcher and connection-oriented diagnostics where appropriate. A visual or logged path gives evidence that complements configuration review. Troubleshooting becomes much faster when you can distinguish “the packet never reached the destination” from “the service received the connection but rejected access.”

Make monitoring answer a specific operational question

Azure Monitor, metrics, logs, alerts, action groups, diagnostic settings, Log Analytics, and resource-specific insights provide many signals. The goal is not to collect everything. The goal is to know what question each signal answers and what action follows.

Create an alert for a measurable condition and route it to an action group. Send diagnostic data to a Log Analytics workspace and use KQL to answer a small operational question. Compare resource metrics with logs so you understand the difference between time-series measurements and richer event records.

Then introduce a change that causes the alert. Verify the condition, notification, and recovery. This makes monitoring an operational workflow instead of a set of portal pages.

Also consider cost and noise. Collecting every possible log may increase expense, while alerts with no clear owner become ignored. A useful monitoring design defines the signal, threshold, destination, responsible team, and expected action.

Backup and recovery should be tested as outcomes

Azure Backup and Site Recovery support business continuity, but a successful configuration does not prove recoverability. Administrators need to understand policies, retention, restore operations, vault behavior, recovery objectives, and the dependencies required for a recovered workload to function.

Create a protected resource and perform an actual restore in a lab. Measure the steps and verify access after recovery. Ask whether DNS, identity, network rules, application configuration, and storage references still point to the correct locations.

This kind of practice builds better exam intuition because recovery questions are rarely about one button. They ask which mechanism satisfies the required failure scope, data-loss tolerance, and recovery time.

Record the recovery procedure and repeat it. If the second attempt still depends on remembering undocumented steps, the process is not yet operationally mature. Reliable recovery is repeatable and verifiable.

Use practice questions as diagnostics, then return to the lab

A practice question is valuable when it identifies a reasoning gap. If you miss a storage question, classify why: unfamiliar feature, misunderstood requirement, weak networking knowledge, or confusion between identity and access. Then reproduce the concept in the lab.

When a practice answer is wrong, record the required control, the alternative you chose, and the evidence that distinguishes them. Many AZ-104 preparation mistakes come from confusing neighboring controls: a network security rule cannot grant a missing Blob data role, and a policy assignment does not replace a properly scoped RBAC permission.

Keep an error log with the requirement, your wrong assumption, the corrected model, and a lab or command that proves the correction. Review that log more often than material you already know well.

Finish with a timed administration rehearsal

Before the exam, rebuild a small environment from a blank starting point. Create governance, identity, networking, storage, compute, monitoring, and recovery controls. Use both the portal and command-line tools. Document the environment as you go, then troubleshoot several prepared faults without changing multiple settings at once.

After AZ-104, your Azure career path might continue into architecture, network engineering, security, or DevOps. The immediate preparation goal is more concrete: demonstrate administrator judgment when identities, resources, networks, and recovery requirements interact.

A strong AZ-104 candidate can look at an unfamiliar Azure scenario, identify the controlling layer, choose a suitable resource or configuration, and explain how to verify the result. That ability survives portal changes and is a better readiness signal than memorizing hundreds of screens.