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Roles of a Validated Mulesoft Certified Developer

Learning for MCD – Integration and API Associate requires you to work well with both Anypoint Platform and Anypoint Studio. This knowledge will help you thoroughly navigate and control aspects of the lifecycle of a basic API. With monitoring, candidates of this exam are expected to successfully work on basic Mule 3 projects. This includes connecting to various resources, from databases, files, web services, to JMS queues and Saas applications. Using Anypoint Studio, you must know how to build, test, and debug basic integrations and API implementation. You also have to know how to execute basic data transformation with DataWeave, manage message flow, control errors, and process batch records.

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Topics of MuleSoft Certified Developer - Integration and API Associate (Mule 3) Exam

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our MuleSoft Certified Developer - Integration and API Associate (Mule 3) exam dumps will include the following topics:

1. Explaining application network basics

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

2. Designing and consuming APIs

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

3. Accessing and modifying Mule events

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

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.
• 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.
• Define and reuse global configurations in an application.
• Parameterize an application using property placeholders.
• Break an application into multiple flows using private flows, subflows, and the Flow Reference component.

5. Building API implementation interfaces

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

6. Routing events

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

7. Handling errors

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

8. Transforming data with DataWeave

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

9. Using Connectors

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

10. Processing records

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

11. Debugging and troubleshooting Mule applications

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

12. Deploying and managing APIs and integrations

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

Reference: https://training.mulesoft.com/exam/mcd-assoc