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

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

The MuleSoft Certified Developer - Integration and API Associate (Mule 3) certification is attests to your skills in designing, building, and deploying APIs and integrations using MuleSoft’s Anypoint Platform. The MuleSoft certification includes MuleSoft’s key features and components, integration patterns, API design, and developing reliable and scalable applications. The MuleSoft certification is an proof of your skills to contribute effectively in MuleSoft projects.
Why is MuleSoft Certified Developer - Integration and API Associate (Mule 3) important?

  • Validates knowledge of MuleSoft’s Anypoint Platform for API and integration development.
  • Certifies expertise in designing, building, and deploying APIs and integrations.
  • Boosts career opportunities in the growing field of integration and API management.
  • Gives a competitive edge in job applications and career advancement.
  • Supports organizations in identifying skilled developers for MuleSoft implementations.

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

  • MuleSoft Developer
  • Integration Developer
  • API Developer
  • Software Engineer
  • Technical Consultant

Skills Evaluated

Candidates taking the certification exam on the MuleSoft Certified Developer - Integration and API Associate (Mule 3) is evaluated for the following skills:

  • MuleSoft's architecture and components.
  • Design and build APIs using RAML.
  • Implementing integration patterns.
  • Data transformation using DataWeave.
  • Deploy and manage applications on CloudHub and on-premises.

MuleSoft Certified Developer - Integration and API Associate (Mule 3) Certification Course Outline
The MuleSoft Certified Developer - Integration and API Associate (Mule 3) Certification covers the following topics -

Module 1. Application network basics

  • MuleSoft’s proposal for closing the IT delivery gap.
  • Role and characteristics of the “modern API.”
  • Center for Enablement (C4E).
  • API-led connectivity and application networks.
  • API, API implementation, API interface, API consumer, and API invocation.
  • HTTP protocol and the characteristics of requests and responses.
  • Anypoint Platform for the API lifecycle.

Module 2. Designing and consuming APIs

  • The lifecycle of the “modern API.”
  • Using RAML for defining API resources, nested resources, and methods.
  • When and how to define query parameters vs URI parameters.
  • Using RAML for defining API parameters, requests, and responses.
  • Using RAML for defining reusable data types and format-independent examples.
  • Read a RAML spec and formulate RESTful requests with query parameters and/or headers as appropriate.

Module 3. Accessing and modifying Mule messages

  • Understand the Mule message data structure.
  • Transformers for setting the message payloads, message properties, and flow variables.
  • Able to write MEL expressions for accessing and modifying message payloads, message properties, and flow variables.
  • Enriching Mule messages using the Message Enricher.

Module 4. Structuring Mule applications

  • Parameterize an application by making use of property placeholders.
  • Define and reuse global configurations in an application.
  • Break an application into multiple flows by making use of private flows, subflows, and the Flow Reference component.
  • Able to Specify what data (payload, message properties, flow variables) is persisted between flows when a Flow Reference is used.
  • Specifying what data (payload, message properties, flow variables) is persisted between flows when a Mule message crosses a transport boundary.
  • Able to Specify what data (payload, message properties, flow variables) exists in a flow before and after a call in the middle of a flow to an external resource.

Module 5. Building API implementation interfaces

  • Manually create a RESTful interface for a Mule application.
  • Explain APIKit's features and benefits.
  • Use APIkit to create implementation flows from a RAML file.
  • Illustrate how requests are routed through flows generated by APIkit

Module 6. Routing messages

  • Utilizing the Choice router to route messages based on conditional logic.
  • Applying the Scatter-Gather router to multicast messages
  • Utilizing Filters to filter Mule messages.
  • Validate data using the Validation module.

Module 7. Handling errors

  • The default exception strategy in a Mule application.
  • Define a custom global default exception strategy for an application and identify in what situations it will be used.
  • Define exception strategies for flows.
  • Combine multiple catch exception strategies in a choice exception strategy.

Module 8. Transforming data with DataWeave

  • Able to Write DataWeave scripts to convert JSON, XML, and Java data structures to different data structures and data types.
  • Utilizing DataWeave operators.
  • Define and use custom data types.
  • Applying correct DataWeave syntax to coerce data types.
  • Applying correct DataWeave syntax to format strings, numbers, and dates.
  • Calling Mule flows from a DataWeave script.
  • Calling global MEL functions from a DataWeave script.

Module 9. Using Connectors

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

Module 10. Processing records

  • Listing and comparing and contrasting the methods for processing individual records in a collection.
  • Describe how Mule messages are processed by the Foreach scope.
  • Using the Foreach scope to process records.
  • Describe how Mule messages are processed in a Batch job.
  • Using a Batch element with Batch Steps, Batch Filters, and a Batch Commit to process records.
  • Using the Poll component to trigger a flow.
  • Explaining the features, benefits, and process to use watermarking.
  • Configuring watermarks in the Poll scope.
  • Persisting data between flow executions using the Object Store.

Module 11. Debugging and troubleshooting Mule applications

  • Using breakpoints to inspect a Mule message during runtime.
  • Installing missing dependencies and drivers to a Mule project.
  • Reading and deciphering Mule log error messages.

Module 12. Deploying and managing APIs and integrations

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


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

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

  • Test Code:10647-P
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  • $11.99

  • Ex Tax:$11.99


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

The MuleSoft Certified Developer - Integration and API Associate (Mule 3) certification is attests to your skills in designing, building, and deploying APIs and integrations using MuleSoft’s Anypoint Platform. The MuleSoft certification includes MuleSoft’s key features and components, integration patterns, API design, and developing reliable and scalable applications. The MuleSoft certification is an proof of your skills to contribute effectively in MuleSoft projects.
Why is MuleSoft Certified Developer - Integration and API Associate (Mule 3) important?

  • Validates knowledge of MuleSoft’s Anypoint Platform for API and integration development.
  • Certifies expertise in designing, building, and deploying APIs and integrations.
  • Boosts career opportunities in the growing field of integration and API management.
  • Gives a competitive edge in job applications and career advancement.
  • Supports organizations in identifying skilled developers for MuleSoft implementations.

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

  • MuleSoft Developer
  • Integration Developer
  • API Developer
  • Software Engineer
  • Technical Consultant

Skills Evaluated

Candidates taking the certification exam on the MuleSoft Certified Developer - Integration and API Associate (Mule 3) is evaluated for the following skills:

  • MuleSoft's architecture and components.
  • Design and build APIs using RAML.
  • Implementing integration patterns.
  • Data transformation using DataWeave.
  • Deploy and manage applications on CloudHub and on-premises.

MuleSoft Certified Developer - Integration and API Associate (Mule 3) Certification Course Outline
The MuleSoft Certified Developer - Integration and API Associate (Mule 3) Certification covers the following topics -

Module 1. Application network basics

  • MuleSoft’s proposal for closing the IT delivery gap.
  • Role and characteristics of the “modern API.”
  • Center for Enablement (C4E).
  • API-led connectivity and application networks.
  • API, API implementation, API interface, API consumer, and API invocation.
  • HTTP protocol and the characteristics of requests and responses.
  • Anypoint Platform for the API lifecycle.

Module 2. Designing and consuming APIs

  • The lifecycle of the “modern API.”
  • Using RAML for defining API resources, nested resources, and methods.
  • When and how to define query parameters vs URI parameters.
  • Using RAML for defining API parameters, requests, and responses.
  • Using RAML for defining reusable data types and format-independent examples.
  • Read a RAML spec and formulate RESTful requests with query parameters and/or headers as appropriate.

Module 3. Accessing and modifying Mule messages

  • Understand the Mule message data structure.
  • Transformers for setting the message payloads, message properties, and flow variables.
  • Able to write MEL expressions for accessing and modifying message payloads, message properties, and flow variables.
  • Enriching Mule messages using the Message Enricher.

Module 4. Structuring Mule applications

  • Parameterize an application by making use of property placeholders.
  • Define and reuse global configurations in an application.
  • Break an application into multiple flows by making use of private flows, subflows, and the Flow Reference component.
  • Able to Specify what data (payload, message properties, flow variables) is persisted between flows when a Flow Reference is used.
  • Specifying what data (payload, message properties, flow variables) is persisted between flows when a Mule message crosses a transport boundary.
  • Able to Specify what data (payload, message properties, flow variables) exists in a flow before and after a call in the middle of a flow to an external resource.

Module 5. Building API implementation interfaces

  • Manually create a RESTful interface for a Mule application.
  • Explain APIKit's features and benefits.
  • Use APIkit to create implementation flows from a RAML file.
  • Illustrate how requests are routed through flows generated by APIkit

Module 6. Routing messages

  • Utilizing the Choice router to route messages based on conditional logic.
  • Applying the Scatter-Gather router to multicast messages
  • Utilizing Filters to filter Mule messages.
  • Validate data using the Validation module.

Module 7. Handling errors

  • The default exception strategy in a Mule application.
  • Define a custom global default exception strategy for an application and identify in what situations it will be used.
  • Define exception strategies for flows.
  • Combine multiple catch exception strategies in a choice exception strategy.

Module 8. Transforming data with DataWeave

  • Able to Write DataWeave scripts to convert JSON, XML, and Java data structures to different data structures and data types.
  • Utilizing DataWeave operators.
  • Define and use custom data types.
  • Applying correct DataWeave syntax to coerce data types.
  • Applying correct DataWeave syntax to format strings, numbers, and dates.
  • Calling Mule flows from a DataWeave script.
  • Calling global MEL functions from a DataWeave script.

Module 9. Using Connectors

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

Module 10. Processing records

  • Listing and comparing and contrasting the methods for processing individual records in a collection.
  • Describe how Mule messages are processed by the Foreach scope.
  • Using the Foreach scope to process records.
  • Describe how Mule messages are processed in a Batch job.
  • Using a Batch element with Batch Steps, Batch Filters, and a Batch Commit to process records.
  • Using the Poll component to trigger a flow.
  • Explaining the features, benefits, and process to use watermarking.
  • Configuring watermarks in the Poll scope.
  • Persisting data between flow executions using the Object Store.

Module 11. Debugging and troubleshooting Mule applications

  • Using breakpoints to inspect a Mule message during runtime.
  • Installing missing dependencies and drivers to a Mule project.
  • Reading and deciphering Mule log error messages.

Module 12. Deploying and managing APIs and integrations

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