Authentic Salesforce Certification Exam MuleSoft-Integration-Architect-I Questions Answers

Leveraging existing Java-based capabilities for data transformations in a Mule application can enhance efficiency and reuse. Here’s how to integrate Java classes for transformations:

Create Java Classes:

Ensure the Java classes that contain the transformation logic are available in the Mule application project.

Compile the Java classes if they are not already compiled and place the .class files or JAR file in the Mule project’s classpath.

Configure DataWeave to Call Java Methods:

Use DataWeave’s capability to invoke Java methods within the transformation scripts.

Import the Java classes and methods in the DataWeave script.

%dw 2.0 import * from my.package.ClassName output application/json --- { transformedData: ClassName::methodName(payload) }

Perform Transformations:

Write DataWeave scripts that call the appropriate Java methods to perform the necessary transformations.

Ensure the input and output types match between DataWeave and the Java methods.

Test Transformations:

Thoroughly test the transformations to ensure the Java methods are correctly invoked and the expected transformations are applied.

This approach allows for seamless integration of existing Java logic into Mule applications, leveraging DataWeave’s power for comprehensive data transformations.

References

MuleSoft Documentation: DataWeave and Java Integration

MuleSoft Documentation: Using Java with Mule

In a typical MuleSoft integration project, the role primarily responsible for building API implementations is the API Developer. The API Developer focuses on writing the code that implements the logic, data transformations, and business processes defined in the API specifications. They use tools like Anypoint Studio to develop and test Mule applications, ensuring that the APIs function as required and integrate seamlessly with other systems and services.

While the API Designer is responsible for defining the API specifications and the Integration Architect for designing the overall integration solution, the API Developer translates these designs into working software. The Operations team typically manages the deployment, monitoring, and maintenance of the APIs in production environments.

References

MuleSoft Documentation on Roles and Responsibilities

Anypoint Platform Development Best Practices

Explanation

Correct answer is "Compile, package, unit test, validate unit test coverage, deploy" Explanation : Anypoint Platform supports continuous integration and continuous delivery using industry standard tools Mule Maven Plugin The Mule Maven plugin can automate building, packaging and deployment of Mule applications from source projects Using the Mule Maven plugin, you can automate your Mule application deployment to CloudHub, to Anypoint Runtime Fabric, or on-premises, using any of the following deployment strategies • CloudHub deployment • Runtime Fabric deployment • Runtime Manager REST API deployment • Runtime Manager agent deployment MUnit Maven Plugin The MUnit Maven plugin can automate test execution, and ties in with the Mule Maven plugin. It provides a full suite of integration and unit test capabilities, and is fully integrated with Maven and Surefire for integration with your continuous deployment environment. Since MUnit 2.x, the coverage report goal is integrated with the maven reporting section. Coverage Reports are generated during Maven’s site lifecycle, during the coverage-report goal. One of the features of MUnit Coverage is to fail the build if a certain coverage level is not reached. MUnit is not used for integration testing Also publishing to Anypoint Exchange or to create associated API instances in API Manager is not a part of CICD pipeline which can ne achieved using mulesoft provided maven plugin

Explanation

Architecture mentioned in the question can be diagrammatically put as below. Persistent Object Store is the correct answer .

* Mule Object Stores: An object store is a facility for storing objects in or across Mule applications. Mule uses object stores to persist data for eventual retrieval.

Mule provides two types of object stores:

1) In-memory store – stores objects in local Mule runtime memory. Objects are lost on shutdown of the Mule runtime. So we cant use in memory store in our scenario as we want to share watermark within all cloudhub workers

2) Persistent store – Mule persists data when an object store is explicitly configured to be persistent. Hence this watermark will be available even any of the worker goes down