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Reference: https://training.mulesoft.com/exam/mcd-assoc
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MuleSoft Certified Developer - Integration and API Associate (Mule 3) Certification Path
MuleSoft Certified Developer - Integration and API Associate (Mule 3) Exam is foundation level Certification. As such There is no prerequisite for this course. Anyone who is having keen interest and familiar with MuleSoft technology are well invited to pursue this certification.
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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 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 role and characteristics of the “modern API.”
- 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 purpose and roles of a Center for Enablement (C4E).
- Describe the capabilities and high-level components of Anypoint Platform for the API lifecycle.
2. Designing and consuming APIs
- Use RAML to define API parameters, requests, and responses.
- 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.
- Use RAML to define reusable data types and format-independent examples.
- Use RAML to define API resources, nested resources, and methods.
3. Accessing and modifying Mule events
- Enrich Mule events using target parameters.
- Use transformers to set event payloads, attributes, and variables.
- Write DataWeave expressions to access and modify event payloads, attributes, and variables.
- Describe the Mule event data structure.
4. Structuring Mule applications
- Parameterize an application using property placeholders.
- Specify what data (payload, attributes, variables) is persisted between flows when a Flow Reference - is used.
- Break an application into multiple flows using private flows, subflows, and the Flow Reference component.
- Define and reuse global configurations in an application.
- 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.
5. Building API implementation interfaces
- Describe the features and benefits of APIkit.
- Use APIkit to create implementation flows from a RAML file.
- Manually create a RESTful interface for a Mule application.
- Describe how requests are routed through flows generated by APIkit.
- Generate a REST Connector from a RAML specification.
6. Routing events
- Use the Choice router to route events based on conditional logic.
- Validate data using the Validation module.
- Use the Scatter-Gather router to multicast events.
7. Handling 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.
- Use the Try scope to specify error handlers for one or more event processors.
- Define a custom global default error handler for an application and identify in what situations it will be used.
- Describe the data structure of the Mule Error object.
- Map errors to custom application errors.
8. Transforming data with DataWeave
- Define and use custom data types.
- Call Mule flows from a DataWeave script.
- Apply correct DataWeave syntax to format strings, numbers, and dates.
- Apply correct DataWeave syntax to coerce data types.
- Define and use DataWeave variables, functions, and modules.
- Use DataWeave functions.
- Write DataWeave scripts to convert JSON, XML, and Java data structures to different data structures and data types.
9. Using Connectors
- Use the JMS connector to publish and listen for JMS messages.
- Retrieve data from a REST service using HTTP Request or a REST Connector.
- List, read, and write local files using the File connector.
- 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.
- Retrieve data from a Database using the Database connector.
- List, read, and write remote files using the FTP connector.
10. Processing records
- List and compare and contrast the methods for processing individual records in a collection.
- Persist data between flow executions using the Object Store.
- Use the For Each scope to process records.
- Describe the features, benefits, and process to use watermarking.
- Use connectors with automatic watermarking capabilities.
- Use the Scheduler component to trigger a flow.
- Use a Batch Job with Batch Steps and a Batch Aggregator to process records.
- Use connector listeners to trigger flows.
- Explain how Mule events are processed by the For Each scope.
- Explain how Mule events are processed by the Batch Job scope.
- Describe the features, benefits, and process to use automatic watermarking vs manual watermarking.
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 policies, including client ID enforcement, to secure an API.
- Use CloudHub properties to ensure deployment success.
- Package Mule applications for deployment.
- Create and deploy API proxies.
- Deploy applications to CloudHub.
- Create SLA tiers and apply SLA based policies.
- Connect an API implementation to API Manager using autodiscovery.




