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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

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

Only need to practice for 20 to 30 hours

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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.

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

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

2. Designing and consuming APIs

• Use RAML to define API resources, nested resources, and methods.
• Identify when and how to define query parameters vs URI parameters.
• Read a RAML spec and formulate RESTful requests with query parameters and/or headers as appropriate.
• 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.

3. Accessing and modifying Mule events

• Use transformers to set event payloads, attributes, and variables.
• Enrich Mule events using target parameters.
• Write DataWeave expressions to access and modify event payloads, attributes, and variables.
• 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.
• 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.
• Parameterize an application using property placeholders.
• Define and reuse global configurations in an application.
• 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.
• Describe how requests are routed through flows generated by 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.

6. Routing events

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

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.
• Describe the data structure of the Mule Error object.
• Create one or more error handlers for a flow.
• Map errors to custom application errors.
• 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.

8. Transforming data with DataWeave

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

9. Using Connectors

• 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.
• 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.
• Create parameterized SQL queries for the Database connector.
• Retrieve data from a Database using the Database connector.

10. Processing records

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

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

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

Learning the Core Topics

MuleSoft continuously builds innovative products to connect a particular application, data, and device within an organization. Developers like you, being a valuable component in the digital transformation process, must first validate yourselves to guarantee everyone, especially the employers, of your skills. To give you an overview of the MCD - Assoc exam, here are the primary components you will be dealing with.

• Application Programming Interface

  In this industry, there is an unlimited mention of API even if you are not talking about MCD Developers. APIs are the core of Anypoint Platform serving as the software intermediary to create interface connectivity. Hence, learn as much as you can in designing and consuming APIs.

• DataWeave

  Run through DataWeave scripts in transforming data from JSON, XML, and Java to various data structures and types. Internalize the DataWeave operators and correct syntax for you to either coerce data types or format strings, numbers, and dates. From that DataWeave script, try calling Mule flows or global MEL functions.

• API implementation interfaces

  Here, you should be able to define APIkit and derive an implementation flow from a RAML file. Examine how requests are routed through flow and manually develop a RESTful interface for a Mule application.

• Connectors and records

  Connectors allow you to retrieve data from a Database or a REST service. Grasp the various connectors involved in the Anypoint Platform and Studio. Additionally, comprehend the methods and the system behind processing records in a collection.

• Mule messages

  Be familiar with the data structure of Mule messages and how to enrich them through Message Enricher. Practice setting message payloads, properties, and flow variables using transformers and MEL expressions.

• Mule applications

  Understand the works behind Mule applications including the specific data persisting between flows in a Flow Reference or between a Mule message crossing a transport boundary. Read on the data existing in a flow before and after a call as well. Set parameters for a given application with property placeholders and break them into multiple flows.

• Messages and errors

  For routing messages, be acquainted with the Choice router, Scatter-Gather router, and Filters. Go over the Validation module to be accustomed to validating data. When handling errors, you should know the default exception strategy and the multiple catch exception strategies and recognize which situations they are called for.

• Application Network basics

  From the moment you enter into the realm of MuleSoft, you must initially understand MuleSoft's proposal in addressing the IT delivery gap. That comes with a comprehensive knowledge of the role and characteristics of “modern API”, the importance of Center for Enablement (C4E), and the benefits of employing API-led connectivity and application networks. Also, don't miss out on the various terms used in API together with the basics of the HTTP protocol and Anypoint Platform.

• APIs and integrations

  Carry out the process in packaging and deploying Mule applications to the CloudHub. Also, train yourself in creating API proxies and SLA tiers. Make sure to understand autodiscovery for linking API implementation to the API Manager.

• Troubleshooting and Debugging

  Debugging and troubleshooting these applications is also part of the competencies needed. You should learn how to inspect Mule messages during runtime and be able to decipher Mule log error messages as well as install missing dependencies and drivers.

All these concepts strengthen your skills in dealing seamlessly with Anypoint Platform. However, bear in mind that it is not enough to just understand the topics. You have to apply this knowledge to practical use being aware of how to connect the dots and comprehend how each process comes about.