Design integration solutions using MuleSoft's approach and tooling
The exam tests selecting MuleSoft building blocks and Anypoint tooling that actually fit a requirement: contract design, flow implementation, reusable assets, runtime choice, and sync versus async interaction.
Tooling fit
- API Designer: contract-first RAML or OAS, fragments, mocking, and examples before implementation.
- Flow Designer: simple citizen-integrator flows and connectors; not complex orchestration or heavy DataWeave.
- Anypoint Studio: full Mule applications, DataWeave, error handlers, MUnit, and connector tuning.
- Exchange: publish and discover reusable APIs, templates, connectors, and examples with ownership and versions.
- Runtime: CloudHub for managed workers; Runtime Fabric for containers and data-gravity constraints; on-premises when required.
Design choices
Place orchestration in process APIs, channel logic in experience APIs, and system access in system APIs. Use synchronous request/reply for user-facing calls that need an immediate answer; use Anypoint MQ or JMS for long-running work and decoupling. Use Batch for large files and bulk synchronization, and streaming to avoid loading whole payloads into memory. Check connector capability, API limits, and transactionality before committing.
Worked example
Nightly 2 million-row CSV from SFTP into Salesforce. The design uses an SFTP listener, a Batch job with streaming, DataWeave mapping, and the Salesforce bulk API, with a watermark in Object Store and failed records sent to a dead-letter queue. Reasoning: volume and Salesforce API limits rule out per-row synchronous calls, and scatter-gather adds no value.
Traps
Using Flow Designer for complex error handling; choosing a connector by familiarity rather than capability; ignoring API limits; designing without latency or throughput targets; overusing scatter-gather for sequential steps.