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With Mulesoft, you are trained to do your job better and more efficiently with fewer bugs and errors. Becoming a Mulesoft Certified Developer is one tough mountain to climb but once you achieve this goal, a positive domino effect will follow. Your professional career will certainly attract more success.

Looking for jobs and other opportunities will then be easy once you carry with you this certificate. Many employers will be eyeing your potential contribution to their organization. On top of that, you will earn big, with an average salary of at most $103k per year (PayScale.com). Moving forward, you can take on the next steps of becoming a Mulesoft Architect either through the interface path or the platform path.

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How much MuleSoft Certified Developer - Integration and API Associate (Mule 3) Exam Cost

The price of the MuleSoft Certified Developer - Integration and API Associate (Mule 3) exam is $250 USD

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

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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

• 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 capabilities and high-level components of Anypoint Platform for the API lifecycle.
• Describe the role and characteristics of the “modern API.”
• Describe the basics of the HTTP protocol and the characteristics of requests and responses.
• Describe the purpose and roles of a Center for Enablement (C4E).
• Define and describe the benefits of API-led connectivity and application networks.

2. Designing and consuming APIs

• 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.
• Use RAML to define API parameters, requests, and responses.
• Use RAML to define reusable data types and format-independent examples.
• Identify when and how to define query parameters vs URI parameters.
• Describe the lifecycle of the “modern API.”

3. Accessing and modifying Mule events

• Describe the Mule event data structure.
• Write DataWeave expressions to access and modify event payloads, attributes, and variables.
• 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 Mule event - crosses a connection boundary.
• Parameterize an application using property placeholders.
• 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.
• 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 Flow Reference - is used.

5. Building API implementation interfaces

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

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

8. Transforming data with DataWeave

• Define and use DataWeave variables, functions, and modules.
• Apply correct DataWeave syntax to coerce data types.
• Define and use custom data types.
• Use DataWeave functions.
• 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.
• Apply correct DataWeave syntax to format strings, numbers, and dates.

9. Using Connectors

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

10. Processing records

• Use a Batch Job with Batch Steps and a Batch Aggregator to process records.
• Describe the features, benefits, and process to use automatic watermarking vs manual watermarking.
• Use the Scheduler component to trigger a flow.
• Explain how Mule events are processed by the For Each scope.
• Use connectors with automatic watermarking capabilities.
• Explain how Mule events are processed by the Batch Job scope.
• Use the For Each scope to process 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 connector listeners to trigger flows.
• Describe the features, benefits, and process to use watermarking.

11. Debugging and troubleshooting Mule applications

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

12. Deploying and managing APIs and integrations

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

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