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Salesforce Mule-Dev-301 Exam Syllabus Topics:

Section	Weight	Objectives
Secure Data at Rest and in Transit	20%	- Implement security policies - Expose and invoke APIs over HTTPS - Manage keys and certificates - Manage secure environment properties
Implement Maintainable and Modular Mule Applications and Maven Builds	25%	- Implement automated deployment - Build custom policies and processors - Modularize applications and builds - Execute tests with Maven - Create reusable libraries
Implement Monitorable Mule Applications	15%	- Implement message correlation - Monitor applications and runtimes - Implement logging and log management - Expose health check endpoints
Design and Implement API-led Connectivity	13%	- Implement HTTP callbacks/webhooks - Implement server-side caching - Implement API autodiscovery
Implement Performant and Reliable Mule Applications	27%	- Handle HTTP API invocations and errors - Validate messages and payloads - Use ObjectStore for persistence - Optimize performance and throughput - Implement reliable messaging patterns

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Salesforce Certified MuleSoft Developer II 認定 Mule-Dev-301 試験問題 (Q51-Q56):

質問 # 51
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. The Mule server encrypts the value
B. CloudHub encrypts the value
C. Runtime Manager masks the value
D. Anypoint Studio secures the value

正解：B

解説：
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

質問 # 52
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 Propagate to catch permanent errors like HTTP UNAUTHORIZED.
B. Configure retrying until a MULERETRY_EXHAUSTED error is raised or the API responds back with a successful response.
C. In Until Successful configuration, set the retry count to 1 for error type HTTP: UNAUTHORIZED.
D. 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.

正解：D

解説：
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

質問 # 53
Refer to the exhibit.
When creating a new project, which API implementation allows for selecting the correct API version and scaffolding flows from the API specification?
Exhibit:

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

正解：D

解説：
When an API specification has already been published as an asset, Import a published API is the appropriate project-creation path because Anypoint Studio can resolve the published asset and its version and then use that specification to generate the Mule implementation skeleton.
APIkit scaffolding creates the implementation backbone from the selected specification, including the HTTP Listener entry flow, APIkit Router, console-related configuration, and operation-specific implementation flows. MuleSoft currently documents that Studio can scaffold APIs by importing a published API from Exchange/Maven, importing a local specification, or obtaining one from Design Center. However, the distinguishing requirement in this question is selecting the correct published API version. A published Exchange asset has explicit artifact/version coordinates, allowing the intended version to be selected rather than merely working from an unmanaged local RAML file.
Importing a local RAML can generate flows, but it does not inherently provide Exchange-based artifact
/version selection. Likewise, "Generate a local RAML" is not the mechanism shown in the new-project API implementation interface.
Reference topics: APIkit for REST; API Scaffolding; Anypoint Exchange API assets; API version selection; Studio project creation.
Official documentation: https://docs.mulesoft.com/apikit/latest/apikit-4-scaffolding-reference

質問 # 54
Which statement is true when working with correlation IDS?

A. The HTTP Listener generates correlation IDS unless a correlation ID is received in the HTTP request
B. The VM Connector does not automatically propagate correction IDs
C. The Anypoint MQ Connector automatically propagates correlation IDS
D. The HTTP Listener regenerates correlation IDs regardless of the HTTP request

正解：A

解説：
When working with correlation IDs, the HTTP Listener generates correlation IDs unless a correlation ID is received in the HTTP request. In that case, it propagates the received correlation ID throughout the flow execution. Correlation IDs are used to track events across different flows or applications. Reference: https://docs.mulesoft.com/mule-runtime/4.3/about-mule-message#message-attributes

質問 # 55
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?

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

正解：A

解説：
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

質問 # 56
......

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