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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Unlocking Your Career Potential

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.

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

• 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).
• Describe the role and characteristics of the “modern API.”
• 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.
• Define and describe the benefits of API-led connectivity and application networks.

2. Designing and consuming APIs

• 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.
• Describe the lifecycle of the “modern API.”
• Identify when and how to define query parameters vs URI parameters.
• Use RAML to define API parameters, requests, and responses.
• Use RAML to define API resources, nested resources, and methods.

3. Accessing and modifying Mule events

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

4. Structuring Mule applications

• Specify what data (payload, attributes, variables) is persisted between flows when a Flow Reference - is used.
• Parameterize an application using property placeholders.
• 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.
• Break an application into multiple flows using private flows, subflows, and the Flow Reference component.

5. Building API implementation interfaces

• 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.
• Generate a REST Connector from a RAML specification.
• Describe how requests are routed through flows generated by APIkit.

6. Routing events

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

7. Handling errors

• Use the Try scope to specify error handlers for one or more event processors.
• Describe the default error handling in a Mule application.
• Create one or more error handlers for a flow.
• Map errors to custom application errors.
• Compare and contrast how the On Error Continue and On Error Propagate scopes work.
• 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.

8. Transforming data with DataWeave

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

9. Using Connectors

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

10. Processing records

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

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

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

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

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MuleSoft Certified Developer - Integration and API Associate (Mule 3) Exam Certified Professional salary

The average salary of a MuleSoft Certified Developer - Integration and API Associate (Mule 3) Exam Certified Expert in

• United State - 100,200 USD
• India. - 14,00,327 INR
• Europe - 70,500 EURO
• England - 75,000 POUND