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Salesforce Mule-Dev-301 Exam Syllabus Topics:

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

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Salesforce Certified MuleSoft Developer II Sample Questions (Q17-Q22):

NEW QUESTION # 17
A Mule API receives a JSON payload and updates the target system with the payload. The developer uses JSON schemas to ensure the data is valid.
How can the data be validation before posting to the target system?

A. Add the JSON module dependency and add the validate-schema operation in the flow, configured to reference the schema
B. Using the DataWeave if Else condition test the values of the payload against the examples included in the schema
C. Apply the JSON Schema policy in API Manager and reference the correct schema in the policy configuration
D. Use a DataWeave 2.09 transform operation, and at the log of the DataWeave script, add:
%dw 2.0
Import.json-moduls

Answer: A

Explanation:
To validate the data before posting to the target system, the developer should add the JSON module dependency and add the validate-schema operation in the flow, configured to reference the schema. The JSON module provides a validate-schema operation that validates a JSON payload against a JSON schema and throws an error if the payload is invalid. Reference: https://docs.mulesoft.com/json-module/1.1/json-validate-schema

NEW QUESTION # 18
A Mule implementation uses a HTTP Request within an Unit Successful scope to connect to an API.
How should a permanent error response like HTTP:UNAUTHORIZED be handle inside Until Successful to reduce latency?

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

Answer: B

Explanation:
To handle a permanent error response like HTTP:UNAUTHORIZED inside Until Successful, the developer should put the HTTP Request inside a try scope in Unit Successful, and use On Error Continue to catch permanent errors like HTTP UNAUTHORIZED in the error handler. This way, the developer can avoid retrying requests that will always fail due to a permanent error, and reduce latency. On Error Continue allows the flow to continue processing after handling the error. Reference: https://docs.mulesoft.com/mule-runtime/4.3/until-successful-scope https://docs.mulesoft.com/mule-runtime/4.3/on-error-continue-concept

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

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

Answer: B

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

Answer: B

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 # 21
Refer to the exhibit.

When creating a new project, which API implementation allows for selecting the correct API version and scaffolding the flows from the API specification?

A. Import a published API
B. Import RAML from local file
C. Generate a local RAML from anypoint Studio
D. Download RAML from Design Center

Answer: D

Explanation:
To create a new project that selects the correct API version and scaffolds the flows from the API specification, the developer should import a published API. This option allows importing an API specification that has been published to Anypoint Exchange or Design Center, and selecting a specific version of that API specification. The developer can also choose to scaffold flows based on that API specification. Reference: https://docs.mulesoft.com/apikit/4.x/apikit-4-new-project-task

NEW QUESTION # 22
......

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