Application Architecture and Integration Design
This topic covers messaging, event-driven architecture, API integration, caching, application configuration, deployment automation, and decoupled systems.
How to study for AZ-305
Treat each AZ-305 item as an architecture decision: identify the workload requirement, governance boundary, data shape, recovery objective, and infrastructure tradeoff before choosing.
Core concepts
Concept 1
Application Architecture and Integration Design questions test Azure architecture tradeoff decisions rather than isolated service-name recall.
Exam cue: Identify the requirement, workload type, data shape, access boundary, recovery target, and operational ownership model.
Concept 2
The best answer maps business requirements to identity, governance, data, resilience, compute, network, security, cost, and operations constraints.
Exam cue: Choose the Azure design that satisfies the constraint with the least unnecessary operational burden.
Concept 3
Eliminate answers that ignore governance scope, recovery objectives, data durability, private connectivity, security boundaries, or workload fit.
Exam cue: Prefer Well-Architected choices: secure, reliable, cost-aware, observable, governed, and scalable.
Risk pitfalls and guardrails
Choosing a service before identifying the business driver and nonfunctional requirement.
Guardrail: Avoid answers that pick services without checking governance scope, data model, recovery target, migration dependency, or network boundary.
Solving availability while ignoring identity, data protection, compliance, or cost constraints.
Guardrail: Avoid answers that pick services without checking governance scope, data model, recovery target, migration dependency, or network boundary.
Assuming a migration, networking, or storage pattern is correct without checking workload dependencies.
Guardrail: Avoid answers that pick services without checking governance scope, data model, recovery target, migration dependency, or network boundary.
Memory anchors
Service Bus
Azure Service Bus provides enterprise messaging with queues, topics, subscriptions, sessions, and dead-lettering.
Event Grid
Azure Event Grid routes discrete events to subscribers using event-driven patterns.
Event Hubs
Azure Event Hubs ingests high-volume streaming telemetry and event data.
API Management
Azure API Management publishes, secures, transforms, and monitors APIs.
Azure Cache for Redis
Azure Cache for Redis provides low-latency caching for application data.
App Configuration
Azure App Configuration centralizes application settings and feature flags.
Deployment Automation
Deployment automation moves tested artifacts and infrastructure changes through repeatable pipelines.
Dead Letter Queue
A dead-letter queue captures messages that cannot be processed successfully.
Event Driven
An event-driven design reacts to events and decouples producers from consumers.
API Gateway
An API gateway centralizes API exposure, authentication, policy, routing, and observability.
Checkpoint rule
Do the check-up only after you can summarize each concept in one sentence and identify one dangerous pitfall from memory.
Knowledge Check (after reading)
Short check-up to confirm understanding of this module.
Check-up Questions
You must decouple a producer from consumers so each consumer independently receives every event. Which messaging model fits?
Your design must let multiple worker instances process messages from one queue, scaling out throughput. Which pattern fits?
Answer all questions to submit.
Next step personalized recommendations
Continue learning
Move forward only after this module is stable.
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