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Salesforce Mule-Dev-301 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement Monitorable Mule Applications15%- Implement monitoring and logging
  • 1. Change log levels dynamically
  • 2. Expose health check endpoints
  • 3. Implement monitoring dashboards and alerts
  • 4. Configure and evaluate application logs
Topic 2: Secure Data at Rest and in Transit20%- Implement security best practices
  • 1. Implement TLS mutual authentication
  • 2. Secure sensitive data in Mule applications
  • 3. Implement secure property management
  • 4. Expose APIs over HTTPS
  • 5. Create and distribute certificates and keys
Topic 3: Expose Production-Ready Anypoint Platform Managed APIs13%- Manage APIs with Anypoint Platform
  • 1. Implement HTTP callbacks
  • 2. Request and manage API access
  • 3. Implement server-side API caching
  • 4. Configure API policies
  • 5. Implement API versioning
Topic 4: Implement Maintainable and Modular Mule Applications and Their Maven Builds25%- Implement modular Mule application structures
  • 1. Implement Maven-based automated deployments
  • 2. Implement unit testing with MUnit framework
  • 3. Execute MUnit tests with Maven
  • 4. Optimize Maven build configurations
  • 5. Create custom API rules
Topic 5: Implement Performant and Reliable Mule Applications27%- Optimize reliability and performance
  • 1. Implement asynchronous processing
  • 2. Implement ObjectStore persistence
  • 3. Build fault-tolerant message processing
  • 4. Implement performant API invocations
  • 5. Validate assertions using validation modules

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Salesforce Certified MuleSoft Developer II Sample Questions (Q55-Q60):

NEW QUESTION # 55
An order processing system is composed of multiple Mule application responsible for warehouse, sales and shipping. Each application communication using Anypoint MQ. Each message must be correlated against the original order ID for observability and tracing.
How should a developer propagate the order ID as the correlation ID across each message?

Answer: D

Explanation:
To propagate the order ID as the correlation ID across each message using Anypoint MQ, the developer should wrap all Anypoint MQ Publish operations within a With CorrelationID scope from the Tracing module, setting the correlation ID to the order ID. The With CorrelationID scope allows setting a custom correlation ID for any event that occurs within it. The Tracing module also enables distributed tracing across different Mule applications and services using Anypoint Monitoring. Reference: https://docs.mulesoft.com/tracing-module/1.0/tracing-module-reference#with-correlation-id-scope https://docs.mulesoft.com/tracing-module/1.0/tracing-module-concepts


NEW QUESTION # 56
Two APIs are deployed to a two-node on-prem cluster. Due to a requirements change, the two APIs must communicate to exchange data asynchronously.
How can this be solved?

Answer: B

Explanation:
VM Connector supports both intra-application and inter-application asynchronous communication. MuleSoft specifically documents that two different Mule applications can publish to and consume from the same VM queue when both applications are part of the same Mule domain and reference the shared VM configuration.
The fact that the applications are deployed to a two-node Mule cluster does not prevent use of VM Connector.
In cluster mode, VM queues are cluster-wide resources. Mule's cluster synchronizes access, and messages placed on a VM queue can be processed by another node in the cluster. MuleSoft identifies this as a supported mechanism for distributing asynchronous work across clustered runtime instances.
Therefore, option B is incorrect: each node does not operate an entirely isolated VM queue namespace for a shared clustered configuration. Option D also contradicts VM Connector's documented inter-application use case.
The required architectural condition is that both applications use the same domain/shared VM configuration so they can reference the same queue. The publisher can then send asynchronously while the second API consumes from the shared VM queue.
Reference topics: VM Connector; Mule domains; inter-application communication; persistent/transient queues; Mule HA clustering.
Official documentation: https://docs.mulesoft.com/vm-connector/latest/vm-publish-across-apps Official documentation: https://docs.mulesoft.com/vm-connector/latest/vm-reference


NEW QUESTION # 57
A heathcare customer wants to use hospital system data, which includes code that was developed using legacy tools and methods. The customer has created reusable Java libraries in order to read the data from the system.
What is the most effective way to develop an API retrieve the data from the hospital system?

Answer: B

Explanation:
To develop an API that retrieves data from a hospital system using reusable Java libraries, the developer should install libraries in a local repository and refer to it in the pom.xml file. This way, the developer can use Maven to manage dependencies and invoke Java code from Mule applications using Java Module operations. Reference: https://docs.mulesoft.com/mule-runtime/4.3/java-module-reference#add-the-java-module-to-your-project https://docs.mulesoft.com/mule-runtime/4.3/java-module-reference#invoke-java-code


NEW QUESTION # 58
The HTTP Request operation raises an HTTP CONNECTIVITY error.
Which HTTP status code and body are returned to the web client?

Answer: D

Explanation:
When the HTTP Request operation raises an HTTP CONNECTIVITY error, it triggers an on-error-continue handler that sets a payload with 'Error in processing your request'. Since no status code is explicitly set in this handler, it defaults to 500 (INTERNAL SERVER ERROR). Therefore, the web client receives an HTTP response with status code 500 and body 'Error in processing your request'. Reference: https://docs.mulesoft.com/mule-runtime/4.3/error-handling#on-error-continue


NEW QUESTION # 59
Refer to the exhibit.
What action must be performed to log all the errors raised by the VM Connector?

Answer: C

Explanation:
To log all the errors raised by the VM Connector, the developer needs to add an async logger with the name 'org.mule.extension.vm' and the level 'ERROR' inside the appenders tag of the log4j2.xml file. This will enable logging all error-level events generated by the VM Connector to the console appender. Reference: https://docs.mulesoft.com/mule-runtime/4.3/logging-in-mule#configuring-custom-logging-settings


NEW QUESTION # 60
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