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Salesforce Mule-Dev-301 Exam Syllabus Topics:

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

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Salesforce Certified MuleSoft Developer II Sample Questions (Q47-Q52):

NEW QUESTION # 47
A company with MuleSoft Titanium develops a Salesforce System API using MuleSoft out-of-the-box Salesforce Connector and deploys the API to CloudHub.
Which steps provide the average number of requests and average response time of the Salesforce Connector?

A. Access Anypoint Monitoring built-in dashboard.
Select a resource.
Locate the information under Log Manager < Raw Data.
B. Access Anypoint Monitoring's built-in dashboard
Seclect a resource.
Create a custom dashboard to retrieve the information.
C. Access Anypoint Monitoring's built-in dashboard. Select a resource.
Locate the information under the Connectors tab.
D. Change the API Implementation to capture the information in the log.
Retrieve the information from the log file.

Answer: C

Explanation:
To get the average number of requests and average response time of the Salesforce Connector, the developer should access Anypoint Monitoring's built-in dashboard, select a resource (such as an application or an API), and locate the information under the Connectors tab. The Connectors tab shows metrics for each connector used by the resource, such as average requests per minute, average response time, and failures. Reference: https://docs.mulesoft.com/monitoring/built-in-dashboard-reference

NEW QUESTION # 48
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. 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.
B. 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.
C. In Until Successful configuration, set the retry count to 1 for error type HTTP: UNAUTHORIZED.
D. Configure retrying until a MULERETRY_EXHAUSTED error is raised or the API responds back with a successful response.

Answer: A

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 # 49
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. Using the DataWeave if Else condition test the values of the payload against the examples included in the schema
B. Apply the JSON Schema policy in API Manager and reference the correct schema in the policy configuration
C. Use a DataWeave 2.09 transform operation, and at the log of the DataWeave script, add:
%dw 2.0
Import.json-moduls
D. Add the JSON module dependency and add the validate-schema operation in the flow, configured to reference the schema

Answer: D

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 # 50
A Mule application defines an SSL/TLS keystore property "tls.keystore.keyPassword" as secure.
How can this property be referenced to access its value within the application?

A. #[secure::tls.keystore.keyPassword]
B. ${secure::tls.keystore.keyPassword}
C. p(secure::tls.keystore.keyPassword)
D. $(secure::tls.keystore.keyPassword)

Answer: B

Explanation:
Mule Secure Configuration Properties uses the secure:: prefix when an application references a property stored in a secure configuration properties file. Therefore, a property named tls.keystore.keyPassword is referenced using:
${secure::tls.keystore.keyPassword}
MuleSoft's Secure Configuration Properties documentation specifically states that the secure:: prefix is required when loading values from a secure properties file. The same syntax is used whether the property is consumed by a TLS configuration, connector configuration, global element, or another Mule component.
The ${...} syntax represents Mule configuration-property resolution. By contrast, DataWeave runtime expressions use the #[...] form; simply placing a secure-property identifier inside that syntax does not constitute the documented secure configuration-property reference. Likewise, the other alternatives do not use the required Mule configuration-property syntax.
This distinction is particularly important for TLS credentials. A keystore key password should be maintained externally from Mule XML, encrypted in the secure properties source, and resolved through the Secure Configuration Properties module at runtime.
Therefore, the correct reference is ${secure::tls.keystore.keyPassword}.
Reference topics: Secure Configuration Properties; secure:: prefix; encrypted application properties; TLS keystore credentials.
Official documentation: https://docs.mulesoft.com/mule-runtime/4.9/secure-configuration-properties

NEW QUESTION # 51
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. Configure <Logger level-'ERROR'/> inside the VM Connector configuration
C. Add <AsyncLOgger name='orgroute.extensions vm' level=ERROR'I> inside the Logger tag
D. Nothing, as error-level events are automatically logged

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 # 52
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