Tracks: MuleSoft Developer

Creating Application Networks

Identify core architectural concepts of the Application Network and modern APIs

Identify features of an API-led approach

Identify features of MuleSoft's recommended Operational Model (C4E)

Apply correct processors/syntax and predict outcomes to consume RESTful web services (RAML-based)

Designing APIs

Use REST API methods and resources

Define REST API parameters and responses

Call RESTful services defined by RAML syntax

Accessing and Modifying Mule Events

Apply correct processors/DataWeave expressions to access and modify Mule event payloads, and predict outcomes

Apply correct processors/DataWeave expressions to access and modify Mule event attributes, and predict outcomes

Apply correct processors/DataWeave expressions to access and modify Mule variables, and predict outcomes

Apply correct processors/DataWeave expressions to enrich Mule events using Mule 4 connector targets, and predict outcomes

Structuring Mule Applications

Specify when and how to structure Mule applications into separate configuration and properties files, and predict outcomes

Specify when and how to pass events between flows and subflows using connectors and flow references, and predict outcomes

Building API Implementation Interfaces

Manually build API implementations from an API specification, RAML or not

Predict the results of APIkit based upon a RAML specification

Implement correct responses based on a RAML specification, either manually or with APIkit

Using Connectors

Apply correct processors/syntax to connect to databases, and predict outcomes

Apply correct processors/syntax to connect to files or FTP servers, and predict outcomes

Apply correct processors/syntax to retrieve and combine data in the middle of a flow, and predict outcomes

Processing Records

Apply correct processors/syntax to process individual records in a collection using For Each scopes, and predict outcomes

Apply correct processors/syntax to process individual records in a collection using batch scopes, and predict outcomes

Apply correct processors/syntax to process individual records in a collection using async scopes, and predict outcomes

Apply correct processors/syntax to process individual records in a collection using DB listeners, and predict outcomes

Apply correct processors/syntax to process individual records in a collection using messaging queues, and predict outcomes

Apply correct processors/syntax to persist data between flow executions

Transforming Data

Convert between output types and data types using DataWeave

Predict the result of core DataWeave functions

Apply correct syntax to write DataWeave transformations to coerce, format, order, and filter data, and predict outcomes

Call Mule flows from a DataWeave script

Define, use, and reuse DataWeave modules, functions, and variables, and predict outcomes

Routing Events

Apply correct processors/syntax to route messages using DataWeave conditions within a choice router, and predict outcomes

Apply correct processors/syntax to scatter and gather messages, and predict outcomes

Apply correct processors/syntax to validate Mule events, and predict outcomes

Handling Errors

Apply correct processors/syntax to implement global error handlers, and predict outcomes

Apply correct processors/syntax to implement on-error continue and on-error propagate handlers, and predict outcomes

Apply correct processors/syntax to combine multiple error handlers, and predict outcomes

Apply correct processors /syntax to implement try scopes, and predict outcomes

Apply correct processors/syntax to map custom errors, and predict outcomes

Debugging and Troubleshooting Mule Applications

Apply correct MUnit processors to implement basic automatic tests for Mule applications, and predict outcomes

Identify root causes for errors when debugging Mule applications, and predict outcomes

Deploying and Managing APIs and Integrations

Deploy applications to CloudHub

Manage APIs using separate proxies and auto-discovery

Manage API policies