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Salesforce Mule-Dev-301 Exam Syllabus Topics:

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

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Salesforce Certified MuleSoft Developer II Sample Questions (Q35-Q40):

NEW QUESTION # 35
Which pattern should be used to invoke multiple HTTP APIs in parallel and roll back failed requests in sequence?

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

Answer: A

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 # 36
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 Continue 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 Propagate 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: A

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 # 37
A Mule implementation uses an HTTP Request within an Until Successful scope to connect to an API.
How should a permanent error response like HTTP:UNAUTHORIZED be handled inside Until Successful to reduce latency?

A. Continue retrying until a MULE:RETRY_EXHAUSTED error is raised or the API responds back with a successful response.
B. Put the HTTP Request inside a try scope in Until Successful. In the error handler, use On Error Propagate to catch permanent errors like HTTP:UNAUTHORIZED.
C. Put the HTTP Request inside a try scope in Until Successful. In the error handler, use On Error Continue to catch permanent errors like HTTP:UNAUTHORIZED.
D. In Until Successful configuration, set the retry count to 1 for error type HTTP:UNAUTHORIZED.

Answer: C

Explanation:
Until Successful is intended for failures that can reasonably succeed when retried, such as temporary connectivity issues or transient downstream unavailability. Mule executes the processors in the scope repeatedly until processing succeeds or the configured retry count is exhausted. If an error continues to propagate from the scope, Mule performs another attempt and ultimately raises MULE:
RETRY_EXHAUSTED after all retries fail.
An HTTP:UNAUTHORIZED response represents a permanent application/security condition for the current request. Repeating the identical request does not normally repair invalid credentials or insufficient authorization and simply increases latency and downstream traffic.
The HTTP Request should therefore be placed inside a Try scope. An On Error Continue handler specifically catches the permanent error and handles it inside that Try scope. Because the error is consumed rather than propagated, the Until Successful scope does not interpret the attempt as a retryable failure.
Using On Error Propagate would have the opposite effect: the error would escape the Try scope and cause Until Successful to retry. Continuing until MULE:RETRY_EXHAUSTED unnecessarily delays the response.
Reference topics: Until Successful Scope; Try Scope; On Error Continue; permanent versus transient errors; MULE:RETRY_EXHAUSTED.
Official documentation: https://docs.mulesoft.com/mule-runtime/latest/until-successful-scope

NEW QUESTION # 38
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 private 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 public location with all 10 APIs in a single schedule

Answer: D

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 # 39
A healthcare portal needs to validate the token that it sends to a Mule API. The developer plans to implement a custom policy using the HTTP Policy Transform Extension to match the token received in the header from the heathcare portal.
Which files does the developer need to create in order to package the custom policy?

A. JSON properties file, YAML configuration file
B. XML template file, YAML configuration file
C. JSON properties file, XML template file
D. Deployable ZIP file, YAML configuration file

Answer: B

Explanation:
To package a custom policy using the HTTP Policy Transform Extension, the developer needs to create an XML template file and a YAML configuration file. The XML template file defines the policy logic using Mule components and placeholders for user-defined properties. The YAML configuration file defines the metadata of the policy, such as its name, description, category, parameters, and dependencies. Reference: https://docs.mulesoft.com/api-manager/2.x/http-policy-transform#packaging-the-policy

NEW QUESTION # 40
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