AIP-C01 Application Integration Patterns and Development Tools Guide

Study AIP-C01 integration patterns for Step Functions, EventBridge, prompt flows, AppConfig, SDKs, and GenAI development tooling.

This task is about how GenAI features become maintainable software. The exam usually wants you to recognize when workflow orchestration, events, configuration control, prompt-flow tooling, or development discipline is the real solution instead of more prompt tweaking.

What AWS is testing in this task

The current AIP-C01 domain page treats integration patterns and development tools as a separate task. Recurring patterns include:

  • workflow orchestration
  • event-driven integration
  • prompt and configuration control
  • development and SDK tooling
  • business-system enhancement patterns

That means the question is often about software architecture around the FM, not the FM itself.

Pattern chooser

Requirement Strongest first fit Why
Need multi-step orchestration with branching logic Step Functions or similar workflow control The workflow is explicit and observable
Need loosely coupled system reactions EventBridge or event-driven pattern Decouples producers and consumers
Need controlled prompt/config rollout Prompt-management or AppConfig-style discipline Changes should be versioned and safe
Need repeatable dev integration in code SDK/tooling layer with strong app abstractions Keeps code maintainable and testable
Need structured prompt-chain experimentation Prompt flows or managed prompt tooling The pattern itself needs observability and control

Workflow tools are often the real answer

If the prompt sounds like:

  • “first do X, then Y, then conditionally Z”
  • “wait for approval”
  • “retry only this step”
  • “branch if the tool returns no data”

the strongest answer often uses workflow orchestration rather than burying everything inside prompt text.

Event-driven patterns help enterprise resilience

Event-driven design is strong when:

  • multiple systems need to react
  • the FM path should not block the whole business workflow
  • retries and decoupling matter
  • downstream processing can be asynchronous

This is one reason AIP-C01 often feels like an application-architecture exam.

Configuration discipline matters for GenAI too

Prompts, model routes, thresholds, and rollout flags are still production configuration. Strong answers often keep those controls:

  • versioned
  • reviewable
  • safely deployable
  • observable after rollout

If the prompt or route logic lives as a hidden constant inside app code, operational control is weaker.

Common traps

  • using prompt text as a substitute for workflow orchestration
  • tightly coupling all consumers to a synchronous FM call
  • changing prompt or route behavior without config discipline
  • putting business logic everywhere instead of in a workflow or integration layer
  • treating SDK usage as enough architecture by itself

Fast decision rule

When the problem is how the application should be wired and evolved, think workflow, events, config, tooling, and observability.

Quiz

Loading quiz…
Revised on Monday, June 15, 2026