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1Scan for outdated or missing drivers - takes under a minute2Clear out junk files and repair common Windows errors3Fix the driver behind crashes, sound loss and screen glitchesThe AZ-204 Azure Developer Associate exam validates the skills needed to build, secure, deploy, and troubleshoot cloud solutions on Microsoft Azure. For 2026 preparation, the focus remains on practical developer tasks: choosing the right compute option, working with storage and data services, implementing authentication and authorization, integrating services through messaging and APIs, and using monitoring tools to diagnose production issues.
This cheat sheet is designed as a fast exam-review companion, emphasizing decision points, service behaviors, SDK and CLI patterns, and the details that often separate similar answer choices. Use it to reinforce how Azure App Service, Functions, containers, Durable Functions, Storage, Key Vault, Microsoft Entra ID, Event Grid, Service Bus, Application Insights, and deployment pipelines fit into real-world solution design.
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AZ-204 Exam Scope and 2026 Study Priorities
The AZ-204 exam measures whether you can build, secure, deploy, monitor, and troubleshoot Azure solutions as a working developer. For 2026 preparation, focus less on memorizing service descriptions and more on recognizing which Azure feature solves a specific implementation problem. Expect scenarios involving App Service, Azure Functions, containerized workloads, Azure Storage, Cosmos DB, Microsoft Entra ID, Key Vault, Event Grid, Service Bus, API Management, Application Insights, and CI/CD automation.
The exam commonly blends mulle domains into one question. A prompt might start with an HTTP-triggered Azure Function, add a managed identity requirement, store secrets in Key Vault, publish messages to Service Bus, and ask which SDK call, configuration setting, or Azure CLI command best completes the design. Study each service in context: authentication flow, runtime behavior, scaling model, retry support, monitoring hooks, and deployment method.
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Core domains to prioritize
- Azure compute: Know when to choose App Service, Azure Functions, Azure Container Apps, Azure Kubernetes Service, or Durable Functions. Review deployment slots, autoscale rules, bindings, triggers, cold start considerations, and hosting plan differences.
- Storage and data: Understand Blob Storage access tiers, lifecycle policies, SAS tokens, managed identity access, queues, tables, and Cosmos DB partitioning. Be comfortable with optimistic concurrency, ETags, retry policies, and consistency levels.
- Security: Prioritize Microsoft Entra ID authentication, OAuth 2.0 flows, managed identities, app registrations, role-based access control, Key Vault references, secret rotation, and certificate access from applications.
- Messaging and integration: Compare Storage Queues, Service Bus queues, Service Bus topics, Event Grid, and Event Hubs. Know the differences between commands, events, telemetry streams, dead-letter queues, duplicate detection, sessions, and delivery guarantees.
- Monitoring and troubleshooting: Practice Application Insights, Azure Monitor logs, distributed tracing, custom metrics, availability tests, Kusto Query Language basics, live metrics, alerts, and diagnosing failed deployments or runtime exceptions.
- Deployment and tooling: Review Azure CLI, Azure PowerShell, ARM/Bicep concepts, GitHub Actions, Azure DevOps pipelines, container registry workflows, deployment slots, configuration settings, and environment-specific application settings.
Give extra attention to decision points that appear repeatedly. Use managed identity instead of storing credentials when an Azure-hosted app needs to access another Azure resource. Use Key Vault for secrets, keys, and certificates, but remember that the application still needs permission through RBAC or access policies, depending on the vault configuration. Use Service Bus when you need enterprise messaging features such as sessions, transactions, ordering, or dead-letter handling. Use Event Grid for reactive event routing and Event Hubs for high-throughput telemetry ingestion.
A practical 2026 study plan should include hands-on work with the Azure SDKs and CLI. Create resources, assign identities, configure app settings, deploy code, inspect logs, and intentionally break permissions so you can recognize failure patterns. For SDK preparation, know the common client patterns: create a credential, create a service client, call an async method, handle exceptions, and configure retries. For CLI preparation, recognize command groups such as az webapp, az functionapp, az storage, az keyvault, az servicebus, az monitor, and az deployment.
As you review, map each topic to an exam-style task: implement authentication, read a secret, upload a blob, process a queue message, publish an event, expose an API, deploy with a slot, query telemetry, or scale an app. This keeps the cheat sheet aligned with the AZ-204 objective: proving you can build reliable Azure applications, not just identify Azure services by name.
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Azure Compute: App Service, Functions, Containers, and Durable Workflows
For AZ-204, Azure compute questions usually test service selection, configuration details, scaling behavior, deployment options, and how code runs in managed hosting environments. Know when to choose Azure App Service for web apps and APIs, Azure Functions for event-driven workloads, Azure Container Apps or Azure Kubernetes Service for containerized services, and Durable Functions for stateful orchestration. Expect scenario questions that mix hosting choice with authentication, storage bindings, deployment slots, autoscale, and observability.
App Service exam reminders
Azure App Service hosts web apps, REST APIs, and background jobs with built-in scaling, TLS, custom domains, deployment slots, managed identities, and integration with Azure Monitor. App Service Plans define region, instance size, operating system, and scaling capacity. Scaling out adds instances; scaling up changes the pricing tier or VM size. Use deployment slots for blue-green style releases: deploy to staging, warm up the app, validate settings, then swap into production. Slot-specific settings should be marked as deployment slot settings so connection strings or feature flags do not move during a swap.
- App settings become environment variables for the app at runtime.
- Connection strings are stored separately and can be referenced by frameworks such as ASP.NET.
- Always On helps prevent cold starts for production web apps on supported tiers.
- Managed identity lets the app access Key Vault, Storage, SQL, or other Azure services without storing credentials.
- Hybrid Connections support outbound access to on-premises resources without opening inbound firewall ports.
Azure Functions triggers, bindings, and hosting
Azure Functions are best for small units of work triggered by events such as HTTP requests, queue messages, timers, Event Grid events, Service Bus messages, or blob changes. Triggers start execution; bindings simplify input and output access. For the exam, separate the programming model from the hosting plan. The Consumption plan scales automatically and can have cold starts. The Premium plan supports pre-warmed instances, VNet integration, longer execution, and better scaling controls. The Dedicated plan runs Functions on an App Service Plan and can use Always On.
| Workload | Best fit | Exam reminder |
|---|---|---|
| HTTP API with predictable traffic | App Service | Use slots, autoscale rules, managed identity, and Application Insights. |
| Queue-based background processing | Azure Functions | Use Queue Storage or Service Bus triggers; design for retries and poison messages. |
| Microservices with scale-to-zero | Azure Container Apps | Works well with Dapr, revisions, KEDA-based scaling, and ingress rules. |
| Complex container orchestration | AKS | Choose when you need Kubernetes control, custom networking, or advanced scheduling. |
Containers and durable workflows
For containers, know the difference between image hosting, container execution, and orchestration. Azure Container Registry stores private container images and can integrate with Microsoft Entra ID, managed identity, content trust patterns, and build tasks. Azure Container Instances is suited for simple, short-running containers without orchestration. Azure Container Apps supports serverless containers, HTTP ingress, event-driven scaling, revisions, secrets, and environment-level networking. AKS provides the most control but adds operational responsibility for cluster upgrades, node pools, ingress controllers, policies, and workload identity.
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Durable Functions extend Azure Functions for stateful workflows. Common patterns include function chaining, fan-out/fan-in, async HTTP APIs, human interaction, and monitoring. Orchestrator functions must be deterministic: avoid random values, direct current time calls, blocking I/O, and non-repeatable operations inside the orchestrator. Put external calls in activity functions, and let the Durable extension handle checkpoints and replay. Know the main function types: orchestrator coordinates workflow steps, activity performs work, entity manages small stateful objects, and client starts or queries orchestrations.
Practical exam patterns often ask how to handle scale and resilience. Use queue-based load leveling for bursts, idempotent handlers for retries, health checks for container and web workloads, and Application Insights for distributed tracing. Prefer managed identity over secrets, store configuration outside code, and select the simplest compute platform that satisfies scaling, networking, runtime, and deployment requirements.
Azure Storage and Data Access Patterns
For AZ-204, Azure Storage questions usually test whether you can choose the right storage service, access it securely, and implement efficient data operations. Know the differences between Blob Storage, Azure Files, Queue Storage, Table Storage, Cosmos DB, and Azure Cache for Redis. Blob Storage is the default choice for unstructured object data such as images, documents, logs, backups, and static assets. Azure Files provides SMB/NFS file shares for lift-and-shift scenarios. Queue Storage supports simple asynchronous work queues, while Cosmos DB is used when applications need globally distributed, low-latency NoSQL data with tunable consistency.
Blob Storage exam scenarios often focus on container organization, access tiers, lifecycle rules, metadata, and secure access. Use hot tier for frequently accessed data, cool for infrequent access, cold for rarely accessed data, and archive for long-term offline retention. Archive blobs must be rehydrated before reading. Lifecycle management policies can move or delete blobs based on age, last access time, or prefix filters. For large uploads, expect SDK patterns that use block blobs and chunked transfer. For static website hosting, enable the feature on a storage account and use the $web container.
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- Blob Storage: unstructured files, media, backups, logs, and static web content.
- Azure Files: shared file system access using SMB or NFS, often with legacy applications.
- Queue Storage: simple producer-consumer messaging with at-least-once delivery.
- Table Storage: low-cost key-value data using partition and row keys, without advanced querying.
- Cosmos DB: globally distributed NoSQL data, high availability, millisecond reads and writes, multiple APIs.
- Azure Cache for Redis: low-latency cache, session state, rate limiting counters, and leaderboard-style workloads.
Authentication is a frequent exam area. Prefer Microsoft Entra ID with managed identities for Azure-hosted apps. This avoids storing account keys or connection strings. Use Azure role-based access control such as Storage Blob Data Reader, Storage Blob Data Contributor, or Storage Queue Data Contributor depending on the operation. Shared access signatures are still valid when delegated, time-limited access is required, especially for clients uploading or downloading blobs directly. A user delegation SAS is preferred over an account SAS because it is backed by Microsoft Entra credentials rather than the storage account key.
Cosmos DB questions often require matching partitioning, consistency, and throughput to a scenario. Choose a partition key with high cardinality and even request distribution, such as tenant ID, user ID, or device ID when appropriate. Poor partition keys create hot partitions and throttling. Request units measure consumed throughput; a 429 response means requests are being rate-limited and should be retried using SDK retry policies. Understand the consistency levels: strong, bounded staleness, session, consistent prefix, and eventual. Session consistency is the common default for user-facing apps because it provides read-your-own-writes behavior with good performance.
| Requirement | Likely choice | Exam reminder |
|---|---|---|
| Temporary direct upload to storage from a browser | Blob Storage with SAS | Use short expiry, least permissions, and HTTPS only. |
| Global low-latency JSON document access | Cosmos DB | Partition key design affects scale and cost. |
| Simple background job buffering | Queue Storage | Messages may be delivered more than once, so handlers must be idempotent. |
| Reduce repeated database reads | Azure Cache for Redis | Set expiration policies and handle cache misses safely. |
For SDK and troubleshooting questions, remember that Azure client libraries commonly use client objects, credential objects, and async methods. In .NET, Python, JavaScript, and Java, default credential chains can use local developer sign-in during development and managed identity in Azure. For storage failures, check status codes: 403 usually points to authorization, firewall, private endpoint, SAS, or RBAC issues; 404 can mean the container, blob, or partition item does not exist; 409 often indicates conflicts such as an existing resource or lease condition; 429 indicates throttling. Design retries with exponential backoff, make write operations idempotent, and use ETags or leases when concurrency control is required.
Security, Identity, and Key Vault Essentials
For AZ-204, identity questions usually test whether you can choose the right authentication flow, assign least-privilege access, and avoid embedding secrets in application code. In Azure, Microsoft Entra ID is the central identity provider for users, applications, service principals, and managed identities. A common exam pattern is deciding between app registration credentials and managed identity: use managed identity whenever Azure-hosted code needs to access another Azure resource without storing a client secret or certificate.
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Authentication and authorization reminders
- Authentication verifies who the caller is, usually through Microsoft Entra ID tokens, OAuth 2.0, OpenID Connect, certificates, or managed identity.
- Authorization determines what the caller can do, commonly through Azure RBAC roles, application roles, scopes, or resource-specific permissions.
- App registrations represent applications in Microsoft Entra ID and define redirect URIs, exposed APIs, delegated permissions, application permissions, and credentials.
- Service principals are the tenant-specific security identities created from app registrations and used for automation, CI/CD, and daemon apps.
- Delegated permissions act on behalf of a signed-in user, while application permissions allow an app to act as itself without a user.
Key Vault is used to protect secrets, keys, and certificates. Secrets are values such as connection strings and API keys. Keys are cryptographic keys used for operations such as signing, wrapping, and encryption. Certificates include certificate metadata and private key material. For applications, the preferred pattern is to retrieve secrets at runtime using the Azure SDK with DefaultAzureCredential, backed by managed identity in Azure and developer credentials locally. App Service and Azure Functions can also use Key Vault references in application settings, letting the platform resolve secret values without custom retrieval code.
| Scenario | Preferred approach |
|---|---|
| App Service reads a database password | Store the password in Key Vault and access it with managed identity or Key Vault app setting references |
| Function App accesses Storage or Service Bus | Use managed identity with Azure RBAC when supported instead of connection strings |
| CI/CD deploys Azure resources | Use workload identity federation or a service principal with minimum required RBAC scope |
| Application encrypts data with customer-managed keys | Store the key in Key Vault or Managed HSM and grant only required key permissions |
Know the difference between Key Vault access models. The older vault access policy model grants permissions directly on the vault for keys, secrets, and certificates. The Azure RBAC model uses role assignments such as Key Vault Secrets User, Key Vault Reader, or Key Vault Administrator and is generally preferred for centralized access control. For production vaults, enable soft delete and purge protection, use private endpoints where required, restrict public network access, and log Key Vault operations to Azure Monitor. If an app receives access denied errors, check the identity being used, the vault permission model, the role assignment scope, firewall settings, and whether the code is requesting a secret, key, or certificate operation that matches the granted permission.
Messaging, Eventing, and API Integration Services
AZ-204 questions often test whether you can choose the right integration service for the communication pattern. Use Azure Service Bus when an application needs reliable enterprise messaging, ordered processing, duplicate detection, transactions, dead-letter queues, or competing consumers. Use Azure Event Grid for lightweight event routing from Azure services or custom publishers to subscribers such as Functions, Apps, WebHooks, or Event Hubs. Use Azure Event Hubs for high-throughput telemetry and streaming ingestion, especially when many producers send data that downstream consumers process in partitions.
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For Service Bus, know the difference between queues and topics/subscriptions. A queue delivers each message to one consumer, while a topic can fan out the same message to mulle subscriptions. Subscriptions can use filters to receive only matching messages. Common exam features include Peek-Lock versus Receive-and-Delete, scheduled messages, sessions for FIFO-style ordered processing, dead-letter queues for poison messages, and lock renewal for long-running handlers. If a handler crashes while using Peek-Lock, the message becomes visible again after the lock expires unless it was completed.
| Requirement | Best Azure service | Exam reminder |
|---|---|---|
| Reliable command processing between services | Service Bus Queue | Supports dead-lettering, duplicate detection, and Peek-Lock |
| Publish one message to multiple independent consumers | Service Bus Topic | Use subscriptions and filters for fan-out |
| React to blob creation, resource changes, or custom events | Event Grid | Push-based event delivery with retry and filtering |
| Ingest millions of telemetry events | Event Hubs | Partitioned stream with consumer groups and checkpointing |
| Expose, secure, transform, and throttle APIs | API Management | Use policies for auth, rate limits, caching, and rewrite rules |
Event Grid uses events that describe something that happened, not a command that must be processed exactly once. It supports system topics, custom topics, partner topics, event filtering, retry delivery, and dead-letter destinations. Event handlers should be idempotent because retries can cause duplicate deliveries. For custom events, understand the difference between the native Event Grid schema and CloudEvents. For Azure Functions triggers, Event Grid is a common fit when a function should react to platform events without polling.
Event Hubs appears in scenarios involving telemetry, clickstreams, IoT-style ingestion, and log pipelines. Events are retained for a configured period and read by consumers at their own pace. Scaling depends heavily on partitions, throughput capacity, and consumer groups. A consumer group represents an independent view of the stream, so different applications can process the same event data separately. In .NET, the EventProcessorClient pattern uses Blob Storage for checkpointing so processing can resume from the last committed offset after restarts or rebalancing.
API Management exam points
Azure API Management sits in front of backend APIs to centralize security, governance, and developer access. Know policies such as validate-jwt for token validation, rate-limit and quota for traffic control, set-header and rewrite-uri for request shaping, cache-lookup and cache-store for response caching, and set-backend-service for routing. Products group APIs for subscription access, while revisions and versions help manage API lifecycle changes. Managed identities can let API Management call Azure backends without storing credentials, and Application Insights integration helps trace calls across the gateway and backend services.
- Use queues for work to do: commands, background jobs, retries, and durable processing.
- Use events for something that happened: resource changes, notifications, and reactive automation.
- Use streams for continuous data: telemetry, logs, analytics pipelines, and high-volume ingestion.
- Use API Management for API front doors: authentication enforcement, throttling, transformation, caching, and observability.
Monitoring, Troubleshooting, and Performance Optimization
For AZ-204, monitoring questions usually center on choosing the right Azure Monitor feature and knowing what data it collects. Metrics are numeric time-series values used for charts, alerts, autoscale rules, and quick health checks. Logs are queryable records stored in a Log Analytics workspace and analyzed with Kusto Query Language, or KQL. Application Insights is the main service for application telemetry, including requests, dependencies, exceptions, traces, availability tests, user flows, and distributed transaction views.
Application Insights is especially relevant for App Service, Azure Functions, containerized workloads, and APIs. In .NET, Java, JavaScript, and Python apps, the SDK or agent can collect telemetry such as request duration, failed dependencies, unhandled exceptions, and custom events. For exam scenarios, remember that correlation matters: Application Insights can connect a front-end request to downstream calls such as Azure SQL, Cosmos DB, Service Bus, Storage, or another HTTP API. Use Application Map to visualize dependencies and Transaction Search or Failures to isolate failing operations.
Core monitoring choices
- Azure Monitor Metrics: best for near-real-time platform metrics such as CPU percentage, memory, request count, response time, queue length, and HTTP 5xx errors.
- Log Analytics: best for querying diagnostic logs, application logs, container logs, and cross-resource troubleshooting data.
- Application Insights: best for application performance management, dependency tracking, exceptions, availability tests, and distributed tracing.
- Diagnostic settings: used to send resource logs and metrics to Log Analytics, Event Hubs, or Storage accounts.
- Alerts: can be based on metrics, log queries, activity log events, or Application Insights availability and performance signals.
Know the common troubleshooting path. First, check platform health and resource metrics to confirm whether the issue is infrastructure-related. Then inspect application telemetry for failed requests, slow dependencies, and exceptions. Next, query logs for specific operation IDs, correlation IDs, status codes, or client IPs. Finally, validate configuration such as connection strings, managed identity permissions, Key Vault references, networking rules, CORS settings, scale settings, and retry policies. In exam questions, the correct answer often uses the most targeted diagnostic source rather than exporting everything to storage.
Performance optimization reminders
- App Service: use autoscale rules, deployment slots for safe releases, Always On for production apps, connection pooling, and appropriate pricing tiers for CPU, memory, and scale-out needs.
- Azure Functions: reduce cold starts with Premium or Dedicated plans, avoid long blocking work in HTTP triggers, use durable orchestrations for stateful workflows, and configure host settings for concurrency where appropriate.
- Cosmos DB: optimize partition keys, tune request units, use point reads where possible, handle 429 throttling with retries, and avoid cross-partition queries unless needed.
- Storage: use async SDK calls, batch operations where supported, lifecycle policies, CDN or Azure Front Door for static content, and retry policies for transient failures.
- Messaging: monitor dead-letter queues, lock duration, delivery count, duplicate detection, and consumer lag for Service Bus, Event Hubs, and Storage Queues.
For KQL, be ready to recognize simple filtering, projection, aggregation, and ordering patterns. Common operators include where, project, summarize, count, order by, and take. For example, troubleshooting failed requests usually means filtering by timestamp, result code, success flag, operation name, or cloud role name. When diagnosing latency, compare request duration with dependency duration to determine whether the application code or an external dependency is the bottleneck.
Alerts and action groups are another frequent exam area. An alert rule defines the signal, condition, evaluation frequency, and severity. An action group defines what happens next, such as email, SMS, webhook, Apps, Azure Functions, ITSM, or automation runbooks. Use metric alerts for fast threshold-based detection, log alerts for complex queries, and availability tests for public endpoint monitoring. For production solutions, combine actionable alerts with dashboards, workbooks, and structured logging so incidents can be investigated without redeploying the application.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Deployment, CI/CD, and Azure SDK/CLI Exam Tips
For AZ-204, deployment questions usually test whether you can choose the right automation path, configure environment-specific settings safely, and use Azure tooling without relying on the portal. Expect scenarios involving Azure App Service deployment slots, Azure Functions deployment methods, container image rollout, infrastructure as code, and GitHub Actions or Azure Pipelines. The exam often rewards practical choices: use managed identity instead of stored credentials, store secrets in Key Vault, deploy repeatable infrastructure with Bicep or ARM templates, and validate changes before swapping production traffic.
App Service deployment slots are a common decision point. Use slots when you need staged validation, warm-up, quick rollback, or zero-downtime releases for supported App Service plans. Slot-specific settings should be marked as deployment slot settings when values differ between staging and production, such as connection strings, feature flags, or API endpoints. A swap moves content and most configuration between slots, while sticky settings remain with the slot. For Functions, remember that deployment package choices affect runtime behavior: run-from-package improves consistency, zip deploy is common for automated delivery, and container-based Functions are useful when dependencies or runtime customization exceed the default hosting model.
CI/CD patterns to recognize
- GitHub Actions: Common for repository-based automation using workflow YAML, federated credentials, and actions such as Azure login, web app deploy, container registry login, and CLI script execution.
- Azure Pipelines: Common in enterprise Azure DevOps environments, with service connections, stages, approvals, variable groups, and deployment jobs.
- Container deployments: Build an image, push it to Azure Container Registry, then deploy to App Service for Containers, Azure Container Apps, Azure Kubernetes Service, or Azure Container Instances depending on orchestration needs.
- Infrastructure as code: Use Bicep or ARM templates for repeatable Azure resource creation. Use parameters for environment differences and outputs for values consumed by later pipeline steps.
Know the authentication options used by deployment automation. Older examples may show service principals with client secrets, but modern exam scenarios may prefer workload identity federation for GitHub Actions or managed identity for Azure-hosted automation. For Azure SDK code, the DefaultAzureCredential pattern is exam-relevant because it supports local development credentials and production managed identity without code changes. In local development, it can use Azure CLI, Visual Studio, or developer CLI credentials; in Azure, it commonly resolves to managed identity when configured.
| Task | Exam-ready tool or command pattern |
|---|---|
| Create or update Azure resources | Azure CLI with az group create, az deployment group create, Bicep, or ARM templates |
| Deploy App Service code | Zip deploy, GitHub Actions, Azure Pipelines, or az webapp deploy |
| Deploy Function App package | Zip deploy, run-from-package, Core Tools, or pipeline task |
| Push container image | Build locally or in pipeline, push to Azure Container Registry, then update target service image |
| Access Azure resources from code | Azure SDK client plus managed identity and role-based access control |
For SDK questions, focus on client construction, retries, paging, long-running operations, and credential selection. Many Azure SDK clients use a credential object and service endpoint, such as a blob service URL, Key Vault URI, or Service Bus namespace. Operations that return many items may use pageable results rather than a single list. Management-plane operations often use Azure Resource Manager clients and may involve long-running pollers. Data-plane clients, such as Blob, Queue, Service Bus, Event Hubs, Cosmos DB, and Key Vault clients, interact with application data or service-specific objects.
CLI questions often test scope and idempotency. Resource group deployments target a resource group; subscription deployments can create resource groups; tenant and management group deployments are broader governance scenarios. Use parameters instead of hard-coded names, and prefer commands that can be rerun safely in automation. When troubleshooting failed deployments, inspect activity logs, deployment operations, pipeline logs, application logs, and role assignments. A successful build does not guarantee a successful runtime: verify app settings, connection strings, managed identity status, firewall rules, private endpoints, package version compatibility, and health checks before assuming the code is faulty.
Frequently Asked Questions
Is AZ-204 still focused on coding, or is it mostly Azure service configuration?
AZ-204 expects both. You should understand how to configure Azure services in the portal, CLI, and ARM/Bicep, but the exam also tests developer tasks such as using SDK clients, implementing retries, securing app settings, handling events, and working with managed identities. Be ready to recognize code patterns for App Service, Functions, Storage, Key Vault, Service Bus, Event Grid, and Application Insights.
Which Azure services should I prioritize first for the 2026 AZ-204 exam?
Start with App Service, Azure Functions, Blob Storage, Cosmos DB, Microsoft Entra ID, Managed Identity, Key Vault, Service Bus, Event Grid, API Management, and Application Insights. These services appear across mulle exam domains and often overlap in scenario questions. Focus on when to choose each service, common configuration settings, and how apps authenticate to them securely.
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You do not need to memorize every command, but you should recognize common command patterns. Know commands for creating App Service plans, deploying web apps, configuring app settings, assigning managed identities, creating storage accounts, working with containers, and viewing logs. The exam often checks whether you understand the right command family and parameter purpose rather than exact syntax down to every flag.
How should I study authentication and authorization for AZ-204?
Focus on Microsoft Entra ID, OAuth 2.0 flows, app registrations, managed identities, role-based access control, and Key Vault access. You should know the difference between system-assigned and user-assigned managed identities, when to use client secrets or certificates, and how Azure SDK DefaultAzureCredential works. Also review how apps call protected APIs and how permissions are granted through scopes, app roles, and Azure RBAC.
What are the most common troubleshooting topics on AZ-204?
Expect questions about Application Insights, Log Analytics, distributed tracing, failed deployments, scaling issues, storage access errors, function execution failures, and message processing problems. Know how to inspect logs, metrics, exceptions, dependency calls, and live telemetry. Also understand retry policies, poison messages, dead-letter queues, health checks, and common causes of 401, 403, 429, and 5xx errors.
Bottom Line
The AZ-204 exam rewards developers who understand not just Azure services, but when to choose each one, how to secure them, and how to troubleshoot real application behavior. Focus your final review on compute options, storage patterns, identity flows, messaging tradeoffs, monitoring signals, and deployment automation.
Use this cheat sheet as a last-mile reference, then reinforce it with hands-on practice in the Azure portal, CLI, SDKs, and sample code. Before exam day, make sure you can explain the “” behind each service choice and recognize common implementation patterns quickly.
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