2026 High Pass-Rate Salesforce Valid Mule-Dev-301 Test Objectives

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Salesforce Mule-Dev-301 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Secure Data at Rest and in Transit	20%	- Implement security best practices 1. Implement secure property management 2. Expose APIs over HTTPS 3. Implement TLS mutual authentication 4. Create and distribute certificates and keys 5. Secure sensitive data in Mule applications
Topic 2: Implement Monitorable Mule Applications	15%	- Implement monitoring and logging 1. Expose health check endpoints 2. Change log levels dynamically 3. Configure and evaluate application logs 4. Implement monitoring dashboards and alerts
Topic 3: Implement Maintainable and Modular Mule Applications and Their Maven Builds	25%	- Implement modular Mule application structures 1. Implement unit testing with MUnit framework 2. Optimize Maven build configurations 3. Implement Maven-based automated deployments 4. Execute MUnit tests with Maven 5. Create custom API rules
Topic 4: Expose Production-Ready Anypoint Platform Managed APIs	13%	- Manage APIs with Anypoint Platform 1. Configure API policies 2. Request and manage API access 3. Implement HTTP callbacks 4. Implement server-side API caching 5. Implement API versioning
Topic 5: Implement Performant and Reliable Mule Applications	27%	- Optimize reliability and performance 1. Implement ObjectStore persistence 2. Implement asynchronous processing 3. Validate assertions using validation modules 4. Implement performant API invocations 5. Build fault-tolerant message processing

>> Valid Mule-Dev-301 Test Objectives <<

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Salesforce Certified MuleSoft Developer II Sample Questions (Q16-Q21):

NEW QUESTION # 16
Which pattern should be used to invoke multiple HTTP APIs in parallel and roll back failed requests in sequence?

A. A Parallel for Each scope with each HTTP request wrapped in a Try scope
B. A database as a transactional outbox and an Until Successful router to retry any requests
C. Scatter-Gather as central Saga orchestrator for all API request with compensating actions for failing routes
D. VM queues as a reliability pattern with error handlers to roll back any requests

Answer: C

Explanation:
To invoke multiple HTTP APIs in parallel and roll back failed requests in sequence, the developer should use a Scatter-Gather router as a central Saga orchestrator for all API requests with compensating actions for failing routes. A Scatter-Gather router executes multiple routes concurrently and aggregates the results. A Saga orchestrator coordinates a series of actions across different services and handles failures by executing compensating actions. Therefore, using a Scatter-Gather router as a Saga orchestrator allows invoking multiple HTTP APIs in parallel and rolling back any failed requests in sequence. Reference: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept https://docs.mulesoft.com/mule-runtime/4.3/saga

NEW QUESTION # 17
When a client and server are exchanging messages during the mTLS handshake, what is being agreed on during the cipher suite exchange?

A. An encryption algorithm
B. The Public key format
C. A protocol
D. The TLS version

Answer: A

Explanation:
A cipher suite is a set of cryptographic algorithms that are used to secure the communication between a client and a server. A cipher suite consists of four components: a key exchange algorithm, an authentication algorithm, an encryption algorithm, and a message authentication code (MAC) algorithm. During the cipher suite exchange, the client and the server agree on which encryption algorithm to use for encrypting and decrypting the data. Reference: https://docs.mulesoft.com/mule-runtime/4.3/tls-configuration#cipher-suites

NEW QUESTION # 18
Refer to the exhibit.

The flow name is ''implementation'' with code for the MUnit test case.
When the MUnit test case is executed, what is the expected result?

A. The test case fails with an unexpected error type
B. The test case passes
C. The test case fails with an assertion error
D. The test throws an error and does not start

Answer: C

Explanation:
Based on the code snippet and MUnit test case below, when the MUnit test case is executed, the expected result is that the test case fails with an assertion error. This is because the assert-equals processor compares two values for equality, and fails if they are not equal. In this case, the expected value is 'Hello World', but the actual value returned by the implementation flow is 'Hello Mule'. Therefore, the assertion fails and an error is thrown. Reference: https://docs.mulesoft.com/munit/2.3/assert-equals-processor

NEW QUESTION # 19
Refer to the exhibit.
What action must be performed to log all the errors raised by the VM Connector?

A. Add <AsyncLOgger name='orgroute.extensions vm' level=ERROR'/> inside the Appenders tag
B. Nothing, as error-level events are automatically logged
C. Configure <Logger level-'ERROR'/> inside the VM Connector configuration
D. Add <AsyncLOgger name='orgroute.extensions vm' level=ERROR'I> inside the Logger tag

Answer: A

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 # 20
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?

A. If all of the values are invalid the last validation error is raised:SCHEDULE:INVALID_CUSTOMER_NAME
B. If the email address is invalid, processing continues to see if the appointment data and customer name are also invalid
C. If only the email address Is invalid a VALIDATION.INVALID_EMAIL error is raised
D. If the appointment date and customer name are invalid, a SCHEDULE:INVALID_APPOINTMENT_DATE error is raised

Answer: C

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 # 21
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