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Salesforce Salesforce-MuleSoft-Developer-II Exam Syllabus Topics:

TopicDetails
Topic 1
  • Secure Data at Rest and in Transit: This topic involves implementing secure, environment-dependent properties management. It discusses creating, packaging, and distributing keys and certificates. Moreover, the topic also includes exposing and invoking APIs over HTTPS.
Topic 2
  • Expose Production-Ready Anypoint Platform-Managed APIs from Mule Applications: This topic includes implementing versioning of API-related artifacts and configuring custom or out-of-the-box API policies. Additionally, it covers server-side caching of API invocations using policies, requesting access to APIs, and implementing HTTP callbacks.
Topic 3
  • Implement Maintainable and Modular Mule Applications and Their Maven Builds: This topic covers modularizing and optimizing Mule application Maven build configurations. It discusses implementing Maven-based automated deployments to Mule runtimes. The topic also includes executing MUnit tests with Maven.
Topic 4
  • Implement Performant and Reliable Mule Applications: It discusses implementing ObjectStore and ensuring fault-tolerant, performant, and traceable message passing with VM and AnypointMQ connectors. The topic also covers fault-tolerant invocations of HTTP-based APIs, validating assertions and messages.
Topic 5
  • Implement Monitorable Mule Applications: This topic encompasses exposing Health Check endpoints from a Mule application and implementing effective logging. It also includes changing log levels, aggregating, and analyzing logs. Furthermore it involves monitoring Mule applications and implementing message correlation.

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Salesforce Certified MuleSoft Developer II Sample Questions (Q36-Q41):

NEW QUESTION # 36
An API has been built to enable scheduling email provider. The front-end system does very little data entry validation, and problems have started to appear in the email that go to patients. A validate-customer'' flow is added validate the data.
What is he expected behavior of the 'validate-customer'' flow?

Answer: D

Explanation:
The validate-customer flow uses an until-successful scope to validate each field of the customer data. The until-successful scope executes its processors until they succeed or exhausts the maximum number of retries. If any processor fails, it raises an error and stops executing the remaining processors. Therefore, if only the email address is invalid, a VALIDATION.INVALID_EMAIL error is raised and the validation of appointment date and customer name is skipped. Reference: https://docs.mulesoft.com/mule-runtime/4.3/until-successful-scope


NEW QUESTION # 37
Which statement is true when using XML SDK for creating custom message processors?

Answer: C

Explanation:
When using XML SDK for creating custom message processors, all operations are public by default and can be used by any Mule application that imports them. There is no way to make an operation private or protected in XML SDK. Reference: https://docs.mulesoft.com/mule-sdk/1.1/xml-sdk#operations


NEW QUESTION # 38
When implementing a synchronous API where the event source is an HTTP Listener, a developer needs to return the same correlation ID back to the caller in the HTTP response header.
How can this be achieved?

Answer: B

Explanation:
When implementing a synchronous API where the event source is an HTTP Listener, Mule automatically propagates some message attributes between flows via outbound and inbound properties. One of these attributes is correlation ID, which is returned to the caller in the response header by default as MULE_CORRELATION_ID. Reference: https://docs.mulesoft.com/mule-runtime/4.3/about-mule-message#message-attributes


NEW QUESTION # 39
A Mule application for processing orders must log the order ID for every log message output.
What is a best practice to enrich every log message with the order ID?

Answer: A

Explanation:
To enrich every log message with the order ID, the developer should use the Tracing module to set logging variables with a Mapped Diagnostic Context (MDC). The Tracing module allows adding custom key-value pairs to log messages using MDC variables. The developer can use Set Logging Variables operation to set the order ID as an MDC variable and then use it in any logger processor within the same thread or event. Reference: https://docs.mulesoft.com/tracing-module/1.0/tracing-module-reference#set-logging-variables


NEW QUESTION # 40
A Mule application includes a subflow containing a Scatter.Gather scope. Within each log of the Scatter.Gatter. an HTTP connector calls a PUT endpoint to modify records in different upstream system. The subflow is called inside an Unit successful scope to retry if a transitory exception is raised.
A technical spike is being performed to increase reliability of the Mule application.
Which steps should be performed within the Mule flow above the ensure idempontent behavior?

Answer: A

Explanation:
To ensure idempotent behavior within a Mule flow that contains a subflow with a Scatter-Gather scope, the developer should ensure an error-handling flow performs corrective actions to roll back all changes if any leg of the Scatter-Gather fails. Idempotency means that multiple identical requests have the same effect as a single request. Therefore, if one of the HTTP requests inside the Scatter-Gather fails, the error-handling flow should undo any changes made by other successful requests to ensure consistency and avoid partial updates. Reference: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept https://docs.mulesoft.com/mule-runtime/4.3/error-handling


NEW QUESTION # 41
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