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Salesforce Mule-Dev-301 Exam Syllabus Topics:

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

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Salesforce Certified MuleSoft Developer II Sample Questions (Q31-Q36):

NEW QUESTION # 31
The Center for Enablement team published a common application as a reusable module to the central Nexus repository.
How can the common application be included in all API implementations?

A. Download the common application from Nexus and copy it to the src/main/resources folder in the API
B. Add a Maven dependency in the POM file with mule-plugin as < classifier >
C. Copy the common application's source XML file and put it in a new flow file in the src/main/mule folder
D. Add a Maven dependency in the POM file with jar as < classifier >

Answer: B

Explanation:
Reusable Mule extensions and modules should be consumed through Maven dependency management rather than through manual file copying. The consuming Mule application's pom.xml declares the module's Maven coordinates-groupId, artifactId, and version-and identifies the artifact using the mule-plugin classifier.
The classifier is significant because it tells Mule's Maven and extension mechanisms that the dependency represents a Mule plugin/module rather than an ordinary Java library. MuleSoft's documentation for custom modules shows precisely this dependency pattern and states that setting the classifier to mule-plugin enables the module to be installed and recognized by the consuming Mule project.
Using a normal JAR classifier does not establish the artifact as a Mule extension. Likewise, manually copying Mule XML or downloading binaries into src/main/resources bypasses Maven dependency resolution, version management, transitive dependency handling, and reproducible builds. Those practices also make centralized maintenance significantly harder.
A Center for Enablement publishing a shared component to Nexus is specifically aligned with the Maven- based reuse model: applications reference an immutable version of the reusable artifact through their POM.
Reference topics: Maven Dependencies; Custom Mule Modules; mule-plugin Classifier; Reusable Application Components.
Official documentation: https://docs.mulesoft.com/studio/add-custom-modules-in-studio-to

NEW QUESTION # 32
An organization uses CloudHub to deploy all of its applications.
How can a common-global-error-handler flow be configured so that it can be reused across all of the organization's deployed applications?

A. Create a Mule plugin project. Create a common-global-error-handler flow inside the plugin project. Use this plugin as a dependency in all Mule applications.
B. Create a Mule domain project. Create a common-global-error-handler flow inside the domain project.
Use this domain project as a dependency.
C. Create a Mule plugin project. Create a common-global-error-handler flow inside the plugin project. Use this plugin as a dependency in all Mule applications. Import that configuration file in Mule applications.
D. Create a common-global-error-handler flow in all Mule applications. Refer to it via flow-ref wherever needed.

Answer: C

Explanation:
Reusable global configuration should be packaged once and consumed as a dependency rather than duplicated across individual Mule applications. A shared Mule project/plugin can contain common flows and global elements, including reusable error handlers. Each consuming application then declares the shared artifact as a dependency.
The crucial additional step is that the Mule configuration containing that global error handler must be imported into the consuming application. Simply placing a JAR/plugin on the Maven dependency graph does not automatically make every Mule XML configuration inside that artifact part of the application's active configuration.
MuleSoft currently documents the same pattern through imported project references: a JAR containing a shared Mule project can expose flows, error handlers, and connection configurations, and the consuming project specifies which Mule configuration file to import. Mule's configuration model also supports < import file="..."/ > for merging shared configuration files such as a global error handler.
A Mule domain is not the appropriate CloudHub reuse mechanism in this scenario. Option C is incomplete because it omits the configuration import step.
Reference topics: reusable Mule configurations; Mule plugin/shared project; Maven dependency reuse; configuration imports; global error handlers.
Official documentation: https://docs.mulesoft.com/anypoint-code-builder/int-global-config-elements

NEW QUESTION # 33
Refer to the exhibit.
What required changes can be made to give a partial successful response in case the United Airlines API returns with a timeout?

A. Add a Scatter-gather component inside a Try scope.
Set the payload to a default value 'Error' inside the error handler using the On Error Propagate scope.
B. Add a Scatter-Gather component inside a Try scope.
Set the payload to a default value 'Error'' inside the error handler using the On Error Continue scope.
C. Add Flow Reference components inside a Try scope
Set the payload to a default value '' inside the error handler using the On Error Propagate scope
D. Add Flow Reference components inside a Try scope.
Set the payload to a default value'' insider the error handler using the ON Error Continue scope

Answer: B

Explanation:
To give a partial successful response in case the United Airlines API returns with a timeout, the developer should add a Scatter-Gather component inside a Try scope, and set the payload to a default value 'Error' inside the error handler using the On Error Continue scope. A Scatter-Gather component allows sending multiple requests concurrently and aggregating the responses into an array. A Try scope allows handling errors that occur within it using an error handler. An On Error Continue scope allows continuing the flow execution after handling an error. Therefore, by using these components, the developer can send requests to both APIs in parallel, handle any timeout errors from United Airlines API, and return a partial response with a default value for that API. Reference: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept https://docs.mulesoft.com/mule-runtime/4.3/try-scope-concept https://docs.mulesoft.com/mule-runtime/4.3/on-error-continue-concept

NEW QUESTION # 34
An API has been developed and deployed to CloudHub Among the policies applied to this API is an allowlist of IP addresses. A developer wants to run a test in Anypoint Studio and does not want any policies applied because their workstation is not included in the allowlist.
What must the developer do in order to run this test locally without the policies applied?

A. Pass in the runtime parameter ''-Danpow.platform.gatekeeper=disabled''
B. Run the test as-s, with no changes because the Studio runtime will not attempt to connect to API Manager
C. Deactivate the API in API Manager so the Autodiscovery element will not find the application when it runs in Studio
D. Create a properties file specifically for local development and set the API instance ID to a value that is not used in API Manager

Answer: A

Explanation:
To run a test locally without the policies applied, the developer should create a properties file specifically for local development and set the API instance ID to a value that is not used in API Manager. This way, the developer can use different configuration properties for different environments and avoid triggering API autodiscovery when running tests locally. API autodiscovery is a mechanism that associates an API implementation with its corresponding API specification and policies in API Manager based on its API instance ID. By setting this ID to a value that does not exist in API Manager, the developer can prevent API autodiscovery from finding and applying any policies to the local test. Reference: https://docs.mulesoft.com/api-manager/2.x/api-auto-discovery-new-concept#configuring-api-autodiscovery https://docs.mulesoft.com/mule-runtime/4.3/configuring-properties

NEW QUESTION # 35
A company deploys 10 public APIs to CloudHub. Each API has its individual health endpoint defined. The platform operation team wants to configure API Functional Monitoring to monitor the health of the APIs periodically while minimizing operational overhead and cost.
How should API Functional Monitoring be configured?

A. From one public location with all 10 APIs in a single schedule
B. From one public location with each API in its own schedule
C. From 10 public locations with each API in its own schedule
D. From one private location with all 10 APIs in a single schedule

Answer: A

Explanation:
To configure API Functional Monitoring to monitor the health of 10 public APIs periodically while minimizing operational overhead and cost, the developer should use one public location with all 10 APIs in a single schedule. A public location is a worker that runs in a CloudHub shared environment, which is cheaper and easier to maintain than a private location. A single schedule allows running all 10 APIs tests at the same time and frequency, which reduces complexity and resource consumption. Reference: https://docs.mulesoft.com/functional-monitoring/fm-create-monitor#create-a-monitor

NEW QUESTION # 36
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