AI-200 Messaging and Serverless Prep: Service Bus, Event Grid, and Functions

AI workloads often include asynchronous processing. A user uploads a document, an ingestion process extracts text, an embedding job runs, a vector index updates, and downstream services react. AI-200 tests the Azure services that make those workflows reliable.

Service Bus: durable commands and queues

Azure Service Bus is a strong choice when work must be processed reliably. Study queues, topics, subscriptions, dead-letter queues, lock handling, retries, and sessions. If a scenario says a back-end operation should not block the HTTP request, queueing the work is likely part of the answer.

Topics and subscriptions matter when multiple pipeline stages need their own copy of a message. Dead-letter queues matter when failures need inspection instead of silent loss.

Event Grid: event notification and routing

Event Grid is designed for event-driven notification. Study custom events, filters, retries, and subscriptions. It is often the right fit when a system should react to resource events or distribute notifications to independent subscribers. It is not the same as a durable work queue for every command.

Azure Functions: serverless APIs and workers

Azure Functions can expose HTTP APIs, process queue messages, respond to events, or run scheduled cleanup. Study triggers, bindings, app settings, deployment configuration, and identity. A common AI-200 pattern is an HTTP-triggered function that validates a request, enqueues work, and returns quickly.

How to practice this domain

Build a small ingestion pipeline: HTTP request to Function, message to Service Bus, worker processing, event notification, and failure handling. Then answer questions about which component should own each responsibility.

Use the ExamStudyApp AI-200 practice exam to sharpen those service-selection decisions. The goal is not to memorize definitions. It is to recognize the scenario language that points to Service Bus, Event Grid, or Azure Functions.