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Salesforce Mule-Dev-301 Exam Syllabus Topics:

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

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Salesforce Certified MuleSoft Developer II 認定 Mule-Dev-301 試験問題 (Q23-Q28):

質問 # 23
An order processing system is composed of multiple Mule application responsible for warehouse, sales and shipping. Each application communication using Anypoint MQ. Each message must be correlated against the original order ID for observability and tracing.
How should a developer propagate the order ID as the correlation ID across each message?

A. Wrap all Anypoint MQ Publish operations within a With CorrelationID scope from the Tracing module, setting the correlation ID to the order ID
B. Set a custom Anypoint MQ user property to propagate the order ID and set the correlation ID in the receiving applications.
C. Use the underlying HTTP request of Anypoint MQ to set the 'X-CORRELATION_ID' header to the order ID
D. Use the default correlation ID, Anypoint MQ will sutomatically propagate it.

正解：A

解説：
To propagate the order ID as the correlation ID across each message using Anypoint MQ, the developer should wrap all Anypoint MQ Publish operations within a With CorrelationID scope from the Tracing module, setting the correlation ID to the order ID. The With CorrelationID scope allows setting a custom correlation ID for any event that occurs within it. The Tracing module also enables distributed tracing across different Mule applications and services using Anypoint Monitoring. Reference: https://docs.mulesoft.com/tracing-module/1.0/tracing-module-reference#with-correlation-id-scope https://docs.mulesoft.com/tracing-module/1.0/tracing-module-concepts

質問 # 24
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?

A. Enable the auto-generate CorrelationID option when scaffolding the flow
B. Configure a custom correlation policy
C. NO action is needed as the correlation ID is returned to the caller in the response header by default
D. Enable the CorrelationID checkbox in the HTTP Listener configuration

正解：C

解説：
When implementing a synchronous API where the event source is an HTTP Listener, Mule automatically propagates some message attributes between flows via outbound and inbound properties. One of these attributes is correlation ID, which is returned to the caller in the response header by default as MULE_CORRELATION_ID. Reference: https://docs.mulesoft.com/mule-runtime/4.3/about-mule-message#message-attributes

質問 # 25
A mule application exposes and API for creating payments. An Operations team wants to ensure that the Payment API is up and running at all times in production.
Which approach should be used to test that the payment API is working in production?

A. Configure the application to send health data to an external system
B. Create a health check endpoint that reuses the same port number and HTTP Listener configuration as the API itself
C. Create a health check endpoint that listens on a separate port and uses a separate HTTP Listener configuration from the API
D. Monitor the Payment API directly sending real customer payment data

正解：C

解説：
To test that the payment API is working in production, the developer should create a health check endpoint that listens on a separate port and uses a separate HTTP Listener configuration from the API. This way, the developer can isolate the health check endpoint from the API traffic and avoid affecting the performance or availability of the API. The health check endpoint should return a simple response that indicates the status of the API, such as OK or ERROR. Reference: https://docs.mulesoft.com/api-functional-monitoring/afm-create-monitor#create-a-monitor

質問 # 26
A Mule application need to invoice an API hosted by an external system to initiate a process. The external API takes anywhere between one minute and 24 hours to compute its process.
Which implementation should be used to get response data from the external API after it completes processing?

A. Use a Scheduler to check for a response every minute
B. Use an HTTP Connector to invoke the API and wait for a response
C. Use an HTTP Connector inside Async scope to invoice the API and wait for a response
D. Expose an HTTP callback API in Mule and register it with the external system

正解：D

解説：
To get response data from the external API after it completes processing, the developer should expose an HTTP callback API in Mule and register it with the external system. This way, the external API can invoke the callback API with the response data when it is ready, instead of making the Mule application wait for a long time or poll for a response repeatedly. Reference: https://docs.mulesoft.com/mule-runtime/4.3/http-listener-ref#callback

質問 # 27
A company deploys 10 public APIs to CloudHub. Each API has its individual health endpoint defined. The platform operation team wants to configure API Functional Monitoring to monitor the health of the APIs periodically while minimizing operational overhead and cost.
How should API Functional Monitoring be configured?

A. From one private location with all 10 APIs in a single schedule
B. From one public location with each API in its own schedule
C. From one public location with all 10 APIs in a single schedule
D. From 10 public locations with each API in its own schedule

正解：C

解説：
To configure API Functional Monitoring to monitor the health of 10 public APIs periodically while minimizing operational overhead and cost, the developer should use one public location with all 10 APIs in a single schedule. A public location is a worker that runs in a CloudHub shared environment, which is cheaper and easier to maintain than a private location. A single schedule allows running all 10 APIs tests at the same time and frequency, which reduces complexity and resource consumption. Reference: https://docs.mulesoft.com/functional-monitoring/fm-create-monitor#create-a-monitor

質問 # 28
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