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1. Explaining application network basics

• Describe the basics of the HTTP protocol and the characteristics of requests and responses.
• Define and describe the benefits of API-led connectivity and application networks.
• Describe the role and characteristics of the “modern API.”
• Define and correctly use the terms API, API implementation, API interface, API consumer, and API - invocation.
• Explain MuleSoft's proposal for closing the IT delivery gap.
• Describe the capabilities and high-level components of Anypoint Platform for the API lifecycle.
• Describe the purpose and roles of a Center for Enablement (C4E).

2. Designing and consuming APIs

• Use RAML to define reusable data types and format-independent examples.
• Use RAML to define API parameters, requests, and responses.
• Use RAML to define API resources, nested resources, and methods.
• Read a RAML spec and formulate RESTful requests with query parameters and/or headers as appropriate.
• Describe the lifecycle of the “modern API.”
• Identify when and how to define query parameters vs URI parameters.

3. Accessing and modifying Mule events

• Write DataWeave expressions to access and modify event payloads, attributes, and variables.
• Describe the Mule event data structure.
• Enrich Mule events using target parameters.
• Use transformers to set event payloads, attributes, and variables.

4. Structuring Mule applications

• Specify what data (payload, attributes, variables) is persisted between flows when a Flow Reference - is used.
• Specify what data (payload, attributes, variables) is persisted between flows when a Mule event - crosses a connection boundary.
• Break an application into multiple flows using private flows, subflows, and the Flow Reference component.
• Specify what data (payload, attributes, variables) exists in a flow before and after a call in the middle of a flow to an external resource.
• Parameterize an application using property placeholders.
• Define and reuse global configurations in an application.

5. Building API implementation interfaces

• Describe how requests are routed through flows generated by APIkit.
• Generate a REST Connector from a RAML specification.
• Describe the features and benefits of APIkit.
• Manually create a RESTful interface for a Mule application.
• Use APIkit to create implementation flows from a RAML file.

6. Routing events

• Validate data using the Validation module.
• Use the Choice router to route events based on conditional logic.
• Use the Scatter-Gather router to multicast events.

7. Handling errors

• Map errors to custom application errors.
• Compare and contrast how the On Error Continue and On Error Propagate scopes work.
• Describe the default error handling in a Mule application.
• Create one or more error handlers for a flow.
• Describe the data structure of the Mule Error object.
• Define a custom global default error handler for an application and identify in what situations it will be used.
• Use the Try scope to specify error handlers for one or more event processors.

8. Transforming data with DataWeave

• Use DataWeave functions.
• Write DataWeave scripts to convert JSON, XML, and Java data structures to different data structures and data types.
• Apply correct DataWeave syntax to coerce data types.
• Define and use DataWeave variables, functions, and modules.
• Define and use custom data types.
• Apply correct DataWeave syntax to format strings, numbers, and dates.
• Call Mule flows from a DataWeave script.

9. Using Connectors

• Retrieve data from a Database using the Database connector.
• List, read, and write remote files using the FTP connector.
• Create parameterized SQL queries for the Database connector.
• Use the JMS connector to publish and listen for JMS messages.
• Retrieve data from a REST service using HTTP Request or a REST Connector.
• Use a Web Service Consumer connector to consume SOAP web services.
• List, read, and write local files using the File connector.
• Use the Transform Message component to pass arguments to a SOAP web service.

10. Processing records

• Use a Batch Job with Batch Steps and a Batch Aggregator to process records.
• List and compare and contrast the methods for processing individual records in a collection.
• Use the For Each scope to process records.
• Use connectors with automatic watermarking capabilities.
• Explain how Mule events are processed by the Batch Job scope.
• Persist data between flow executions using the Object Store.
• Describe the features, benefits, and process to use watermarking.
• Explain how Mule events are processed by the For Each scope.
• Describe the features, benefits, and process to use automatic watermarking vs manual watermarking.
• Use connector listeners to trigger flows.
• Use the Scheduler component to trigger a flow.

11. Debugging and troubleshooting Mule applications

• Read and decipher Mule log error messages.
• Use breakpoints to inspect a Mule event during runtime.
• Install missing Maven dependencies.

12. Deploying and managing APIs and integrations

• Use policies, including client ID enforcement, to secure an API.
• Deploy applications to CloudHub.
• Use CloudHub properties to ensure deployment success.
• Create SLA tiers and apply SLA based policies.
• Create and deploy API proxies.
• Package Mule applications for deployment.
• Connect an API implementation to API Manager using autodiscovery.

MuleSoft MCD-Assoc Exam Syllabus Topics: