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Who should take the MuleSoft Certified Developer - Integration and API Associate (Mule 3) Exam

The MuleSoft Certified Developer - Integration and API Associate (Mule 3) Exam certification is an internationally-recognized certification which help to have validation for those professionals who are keen to make their career in MuleSoft design, build, test and debug, deploy, and manage basic APIs and integrations

if a candidate/professional seeks a powerful improvement in career growth needs enhanced knowledge, skills, and talents. The MuleSoft Certified Developer - Integration and API Associate (Mule 3) certification provides proof of this advanced knowledge and skill.

As we all know, MCD-Assoc exam has been a heated discussion in the industry, and its influence even has been extended to all professions and trades in recent years. Passing the MCD-Assoc exam test means more opportunities of promotions and further study, which undoubtedly a wealth of life. To deliver on the commitments that we have made for the majority of candidates, we prioritize the research and development of our MuleSoft Certified Developer - Integration and API Associate (Mule 3) reliable exam paper, establishing action plans with clear goals of helping them get the MCD-Assoc exam certificate. Our MuleSoft Certified Developer - Integration and API Associate (Mule 3) exam training material engages our working staff to understand customers' diverse and evolving expectations and incorporate that understanding into our strategies. Therefore, our MuleSoft Certified Developer - Integration and API Associate (Mule 3) latest pdf vce undoubtedly is the key to help you achieve dreams.

Introduction to MuleSoft Certified Developer - Integration and API Associate (Mule 3) Exam

A MuleSoft Certified Developer - Integration and API Associate should be able to successfully work on basic Mule 4 projects with guidance and supervision. The MCD-ASSOC exam validates that a developer has the required knowledge and skills to design, build, test and debug, deploy, and manage basic APIs and integrations: moving from Anypoint Platform to Anypoint Studio and back. Certified candidates should be able to:

• Perform basic data transformations using DataWeave 2.0.
• Control event flow and handle errors.
• Use Anypoint Studio to build, test, and debug basic integrations and API implementations.
• Connect to a range of resources including databases, files, web services, SaaS applications, and JMS queues.
• Use MuleSoft-hosted Anypoint Platform to take a basic API through all the steps of its lifecycle: design, build, deploy, manage, and govern.
• Process batch records

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

• 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.
• 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.
• Explain MuleSoft's proposal for closing the IT delivery gap.
• Define and describe the benefits of API-led connectivity and application networks.
• Describe the role and characteristics of the “modern API.”

2. Designing and consuming APIs

• 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.
• Use RAML to define reusable data types and format-independent examples.

3. Accessing and modifying Mule events

• Write DataWeave expressions to access and modify event payloads, attributes, and variables.
• Use transformers to set 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.
• Specify what data (payload, attributes, variables) is persisted between flows when a Mule event - crosses a connection boundary.
• Define and reuse global configurations in an application.
• Break an application into multiple flows using private flows, subflows, and the Flow Reference component.
• 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.

5. Building API implementation interfaces

• Manually create a RESTful interface for a Mule application.
• Use APIkit to create implementation flows from a RAML file.
• Describe the features and benefits of APIkit.
• 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

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

8. Transforming data with DataWeave

• Use DataWeave functions.
• Apply correct DataWeave syntax to coerce data types.
• Apply correct DataWeave syntax to format strings, numbers, and dates.
• Call Mule flows from a DataWeave script.
• 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.
• Define and use custom data types.

9. Using Connectors

• Create parameterized SQL queries for 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.
• List, read, and write local files using the File connector.
• Retrieve data from a Database using the Database connector.
• Use the Transform Message component to pass arguments to a SOAP web service.
• Use a Web Service Consumer connector to consume SOAP web services.

10. Processing records

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

11. Debugging and troubleshooting Mule applications

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

12. Deploying and managing APIs and integrations

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