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Salesforce Mule-Dev-301 Exam Syllabus Topics:

Section	Objectives
Integration and API-led Connectivity	- System, Process, and Experience APIs design - API-led connectivity principles
Error Handling and Troubleshooting	- Exception handling strategies in Mule applications - Debugging and logging techniques
DataWeave and Data Transformation	- DataWeave scripting and transformations - Mapping, filtering, and payload manipulation
Anypoint Platform Development	- Anypoint Studio usage and project structure - Mule application development
Deployment and Testing	- Deployment strategies across environments - Unit testing and integration testing approaches
Security and Governance	- Authentication and authorization mechanisms - API policies and security enforcement

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Salesforce Certified MuleSoft Developer II Sample Questions (Q29-Q34):

NEW QUESTION # 29
A developer deploys an API to CloudHub and applies an OAuth API policy in API Manager. During testing, the API response is slow, so the developer reconfigures the API so that the out-of-the-box HTTP Caching policy is applied first, and the OAuth API policy is applied second.
What will happen when an HTTP request is received?

A. In case of a cache miss, only the HTTP Caching policy is evaluated; then the API retrieves the data from the API implementation, and the policy stores the data to be cached in Object Store
B. In case of a cache hit, only the HTTP Caching policy is evaluated; then the cached response is returned to the caller
C. In case of a cache hit, both the OAuth and HTTP Caching policies are evaluated; then the cached response is returned to the caller
D. In case of a cache miss, both the OAuth and HTTP Caching policies are evaluated; then the API retrieves the data from the API implementation, and the policy does not store the data in Object Store

Answer: B

Explanation:
Policy ordering is critical when HTTP Caching is combined with security policies. Here, HTTP Caching is placed before OAuth. When a matching cached entry exists, the caching policy can satisfy the request immediately rather than allowing that request to continue toward the API implementation.
MuleSoft explicitly documents that policies positioned after the HTTP Caching policy are not applied to responses served from the cache. On a cache hit, HTTP Caching finds the stored response and prevents the request from progressing through the remaining downstream policy chain toward the backend.
Because OAuth is configured after caching in this scenario, OAuth is consequently bypassed for a cache hit.
This ordering has a significant security implication: authentication or authorization policies that must apply even to cached responses should be placed before the caching policy.
On a cache miss, by contrast, the request proceeds through the remaining policies, including OAuth, reaches the implementation, and the successful response can subsequently be cached.
Therefore, with the exact order stated in the question, a cache hit causes the HTTP Caching policy to return the cached response without executing the OAuth policy.
Reference topics: HTTP Caching Policy; API policy ordering; cache hit versus cache miss; security-policy placement.
Official documentation: https://docs.mulesoft.com/mule-gateway/policies-included-http-caching

NEW QUESTION # 30
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 # 31
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 Flow Reference components inside a Try scope
Set the payload to a default value '' 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 Propagate scope.
C. 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
D. 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.

Answer: D

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 # 32
Refer to the exhibits.
BioInfo System API is implemented and published to Anypoint Exchange. A developer wants to invoke this API using its REST Connector.
What should be added to the POM?
Exhibit / Answer Configurations:

A. Add the generated asset through a < rest-connect > element.
B. Add the generated asset as a Maven < plugin > .
C. Add the generated asset as a Maven < dependency > with the Exchange groupId, artifactId, version, and
< classifier > mule-plugin < /classifier > .
D. Add the generated asset as a < repository > entry.

Answer: C

Explanation:
REST Connect converts a supported REST API specification published in Anypoint Exchange into a Mule 4 connector. MuleSoft states that REST Connect-generated Mule 4 connectors are produced as connector artifacts and can be used in Studio like other Mule connectors.
A Mule connector is consumed by an application through the project's Maven dependencies, not through the Maven build-plugin section. MuleSoft's standard connector Maven model requires the connector's Exchange groupId, artifactId, and version under < dependency > , together with:
< classifier > mule-plugin < /classifier >
The classifier is essential because it identifies the artifact as a Mule extension/plugin that the Mule runtime must load. MuleSoft's connector Maven documentation provides this exact dependency structure and directs developers to Exchange's Dependency Snippets for the current coordinates.
A < plugin > declaration is for Maven build plugins rather than runtime Mule connectors. < repository > merely defines where Maven can resolve artifacts and does not itself add the connector to the application. < rest-connect > is not the POM dependency element used to consume a generated connector.
Reference topics: REST Connect; Anypoint Exchange generated connectors; Maven dependencies; mule- plugin classifier.
Official documentation: https://docs.mulesoft.com/exchange/to-deploy-using-rest-connect Official documentation: https://docs.mulesoft.com/connectors/introduction/intro-config-xml-maven

NEW QUESTION # 33
Refer to the exhibit.
What is the result of the Mule Maven Plugin configuration of the value of property tls.keystore.keyPassword in CloudHub 2.0?
Exhibit:

A. CloudHub encrypts the value
B. The Mule server encrypts the value
C. Runtime Manager masks the value
D. Anypoint Studio secures the value

Answer: A

Explanation:
The Mule Maven Plugin's CloudHub 2.0 deployment configuration supports a top-level < secureProperties > element. Properties supplied through this element are treated differently from ordinary deployment properties:
CloudHub 2.0 encrypts their values before storing them.
MuleSoft's deployment documentation explicitly states that < secureProperties > is used to set application properties and instruct CloudHub 2.0 to encrypt the values before storing them. This is particularly appropriate for TLS credentials such as keystore passwords because these values should not be persisted as ordinary clear-text application configuration.
The important distinction is between encryption and UI masking. A masked field merely hides its visual representation; it does not by itself establish protected storage. In CloudHub 2.0, protected property values are stored securely and are not retrievable as plain values through Runtime Manager. Anypoint Studio is also not the component responsible for protecting a value supplied through the CloudHub deployment configuration, nor is this deferred to the Mule application's runtime flow.
Therefore, with the property placed under the Mule Maven Plugin's < secureProperties > configuration, CloudHub encrypts the value.
Reference topics: CloudHub 2.0 deployment; Mule Maven Plugin; secure properties; protected application configuration.
Official documentation: https://docs.mulesoft.com/mule-runtime/4.6/deploy-to-cloudhub-2 Official documentation: https://docs.mulesoft.com/cloudhub-2/ch2-protect-app-props

NEW QUESTION # 34
......

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