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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. Validate assertions using validation modules 2. Implement asynchronous processing 3. Build fault-tolerant message processing 4. Implement ObjectStore persistence 5. Implement performant API invocations
Topic 2: Implement Monitorable Mule Applications	15%	- Implement monitoring and logging 1. Change log levels dynamically 2. Expose health check endpoints 3. Implement monitoring dashboards and alerts 4. Configure and evaluate application logs
Topic 3: 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
Topic 4: Expose Production-Ready Anypoint Platform Managed APIs	13%	- Manage APIs with Anypoint Platform 1. Implement API versioning 2. Request and manage API access 3. Configure API policies 4. Implement HTTP callbacks 5. Implement server-side API caching
Topic 5: Implement Maintainable and Modular Mule Applications and Their Maven Builds	25%	- Implement modular Mule application structures 1. Execute MUnit tests with Maven 2. Implement Maven-based automated deployments 3. Optimize Maven build configurations 4. Create custom API rules 5. Implement unit testing with MUnit framework

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Salesforce Certified MuleSoft Developer II Sample Questions (Q13-Q18):

NEW QUESTION # 13
A Mule application for processing orders must log the order ID for every log message output.
What is a best practice to enrich every log message with the order ID?

A. Create a custom XML SDK component to wrap the logger processor and automatically add the order ID within the connector
B. Use flow variables within every logger processor to log the order ID
C. Set a flow variable and edit the log4/2.xml file to output the variable as part of the message pattern
D. Use the Tracing module to set logging variables with a Mapped Diagnostic Context

Answer: D

Explanation:
To enrich every log message with the order ID, the developer should use the Tracing module to set logging variables with a Mapped Diagnostic Context (MDC). The Tracing module allows adding custom key-value pairs to log messages using MDC variables. The developer can use Set Logging Variables operation to set the order ID as an MDC variable and then use it in any logger processor within the same thread or event. Reference: https://docs.mulesoft.com/tracing-module/1.0/tracing-module-reference#set-logging-variables

NEW QUESTION # 14
A Mule application defines as SSL/TLS keystore properly 'tis,keystore.keyPassword'' as secure.
How can this property be referenced to access its value within the application?

A. #{secure::tiskeystore,keyPassowrd}
B. ${secure::tiskeystore,keyPassowrd}
C. p{secure::tiskeystore,keyPassowrd}
D. ${secure::tiskeystore,keyPassowrd}

Answer: D

Explanation:
secure::tiskeystore,keyPassowrd∗∗ShortExplanationofCorrectAnswerOnly:Toreferenceasecurepropertyvaluewithintheapplication,thedeveloperneedstousethesyntax{secure::}. In this case, the property name is tiskeystore,keyPassword, so the correct syntax is ${secure::tiskeystore,keyPassowrd}. Reference: https://docs.mulesoft.com/mule-runtime/4.3/secure-configuration-properties#referencing-secure-properties

NEW QUESTION # 15
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 # 16
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. In Until Successful configuration, set the retry count to 1 for error type 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. 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.
D. Configure retrying until a MULERETRY_EXHAUSTED error is raised or the API responds back with a successful response.

Answer: C

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 # 17
A developer has created the first version of an API designed for business partners to work commodity prices.
What should developer do to allow more than one major version of the same API to be exposed by the implementation?

A. In Anypoint Studio, generate scaffolding from the RAML, and then modify the flow names generated by APIKit to include a variable with the major version number
B. In Design Center, open the RAML and modify baseUn to include a variable that indicates the version number
C. In Anypoint Studio, generate scaffolding from the RAML, and the modify the <http:listerner> in the generated flows to include a parameter to replace the version number
D. In Design Center, open the RAML and modify each operation to include the major version number

Answer: B

Explanation:
To allow more than one major version of the same API to be exposed by the implementation, the developer should modify the baseUri property in the RAML file to include a variable that indicates the version number. The baseUri property defines the base URL of the API and can include variables that are replaced with actual values when mocking or deploying the API. By using a variable for the version number, the developer can expose different versions of the API using different base URLs and avoid conflicts or confusion. Reference: https://docs.mulesoft.com/api-designer/design-modify-raml-specs#baseuri https://docs.mulesoft.com/api-manager/2.x/api-versioning

NEW QUESTION # 18
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