Mule-Dev-301최고품질인증시험기출자료덤프는Salesforce Certified MuleSoft Developer II시험패스의지름길

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Salesforce Mule-Dev-301 Exam Syllabus Topics:

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

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최신 Salesforce MuleSoft Mule-Dev-301 무료샘플문제 (Q57-Q62):

질문 # 57
The flow is invoicing a target API. The API's protocol is HTTPS. The TLS configuration in the HTTP Request Configuration global element is set to None. A web client submits a request to http:localhost:8081/vehicles.

If the certificate of the target API is signed by a certificate authority (CA), what is true about the HTTP Request operation when the flow executes?

정답:A

설명:
The HTTP Request operation will use the default truststore of the JRE to validate the certificate of the target API. If the CA's certificate is present in the truststore, the operation will succeed. Otherwise, it will fail with a handshake exception. Reference: https://docs.mulesoft.com/mule-runtime/4.3/tls-configuration#tls-default


질문 # 58
Which pattern should be used to invoke multiple HTTP APIs in parallel and roll back any failed requests in sequence?

정답:A

설명:
The requirement combines two architectural concerns: the downstream HTTP calls must execute concurrently, and completed remote operations must be reversible when another operation fails. Scatter- Gather is the appropriate Mule router for the concurrency requirement because it dispatches the event to multiple routes and executes those routes in parallel.
However, independent HTTP APIs cannot generally participate in a single ACID/XA transaction with Mule.
Once a remote API successfully commits an operation, Mule cannot simply perform a conventional transaction rollback across that service boundary. The appropriate distributed-transaction pattern is therefore a Saga, where successful steps have defined compensating operations that semantically undo their effects when a subsequent step fails.
Scatter-Gather also provides a composite error model. If one or more routes fail, Mule collects successful route results and route failures into a MULE:COMPOSITE_ROUTING error. A centralized orchestration
/error-handling flow can inspect those results and execute compensation logic in the required sequence.
Parallel For Each is designed for elements of a collection, not orchestration of several distinct API operations.
VM queues and transactional-outbox patterns address different reliability concerns and do not directly implement distributed compensation.
Reference topics: Scatter-Gather Router; Composite Routing Errors; Distributed Transactions; Compensating
/Saga Pattern.
Official documentation: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept


질문 # 59
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?

정답:C

설명:
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


질문 # 60
A new Mule project has been created in Anypoint Studio with the default settings.
Which file inside the Mule project must be modified before using Maven to successfully deploy the application?

정답:B

설명:
To use Maven to successfully deploy the application, the developer needs to modify the pom.xml file inside the Mule project. The pom.xml file contains the configuration and dependencies of the Mule application, as well as the deployment information such as the CloudHub region, environment, and worker size. The developer needs to specify these properties in the pom.xml file before using Maven to deploy the application. Reference: https://docs.mulesoft.com/mule-runtime/4.3/mmp-concept#application-deployment-descriptor


질문 # 61
When implementing a synchronous API where the event source is an HTTP Listener, a developer needs to return the same correlation ID back to the caller in the HTTP response header.
How can this be achieved?

정답:D

설명:
Correlation IDs are part of Mule event processing and provide the primary mechanism for tracing an execution across application components. Mule first examines the source message for a correlation identifier.
For an HTTP Listener request, an incoming X-CORRELATION-ID or MULE_CORRELATION_ID header can establish the Mule event's correlation ID. If the source does not provide one, Mule generates a unique correlation ID for the event.
For the synchronous HTTP Listener scenario tested by the MuleSoft Developer II curriculum, the same correlation context is associated with the request-response execution, so no special API policy, scaffolding option, or Listener "CorrelationID" checkbox is required to satisfy the stated requirement.
Options B and C describe configuration controls that are not part of the normal HTTP Listener/APIkit scaffolding model. A custom correlation policy would only introduce unnecessary complexity where Mule's runtime correlation mechanism already handles the event correlation lifecycle.
The broader operational principle is important: correlation IDs should remain stable for the execution being traced so that request handling, logs, downstream processing, and the associated synchronous interaction can be related during production diagnostics.
Reference topics: Mule Event; Correlation ID; HTTP Listener; X-CORRELATION-ID; distributed tracing and observability.
Official documentation: https://docs.mulesoft.com/mule-runtime/latest/correlation-id


질문 # 62
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