試験Mule-Dev-301最新関連参考書 &一生懸命にMule-Dev-301日本語資格取得 |効率的なMule-Dev-301難易度

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Salesforce Mule-Dev-301 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Implement Maintainable and Modular Mule Applications and Their Maven Builds	25%	- Implement modular Mule application structures 1. Implement Maven-based automated deployments 2. Create custom API rules 3. Implement unit testing with MUnit framework 4. Execute MUnit tests with Maven 5. Optimize Maven build configurations
Topic 2: Implement Performant and Reliable Mule Applications	27%	- Optimize reliability and performance 1. Validate assertions using validation modules 2. Build fault-tolerant message processing 3. Implement performant API invocations 4. Implement asynchronous processing 5. Implement ObjectStore persistence
Topic 3: 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
Topic 4: Expose Production-Ready Anypoint Platform Managed APIs	13%	- Manage APIs with Anypoint Platform 1. Configure API policies 2. Request and manage API access 3. Implement API versioning 4. Implement server-side API caching 5. Implement HTTP callbacks
Topic 5: Secure Data at Rest and in Transit	20%	- Implement security best practices 1. Secure sensitive data in Mule applications 2. Implement TLS mutual authentication 3. Implement secure property management 4. Create and distribute certificates and keys 5. Expose APIs over HTTPS

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Salesforce Certified MuleSoft Developer II 認定 Mule-Dev-301 試験問題 (Q53-Q58):

質問 # 53
Which command is used to convert a JKS keystore to PKCS12?

A. Keytool-importkeystore -srckeystore keystore p12-srcstoretype PKCS12 -destkeystore keystore.jks -deststoretype JKS
B. Keytool-importkeystore -srckeystore keystore p12-srcstoretype JKS -destkeystore keystore.p12 -deststoretype PKCS12
C. Keytool-importkeystore -srckeystore keystore jks-srcstoretype PKCS12 -destkeystore keystore.p12 -deststoretype JKS
D. Keytool-importkeystore -srckeystore keystore jks-srcstoretype JKS -destkeystore keystore.p13 -deststoretype PKCS12

正解：B

解説：
To convert a JKS keystore to PKCS12, the developer needs to use the keytool-importkeystore command with the following options: -srckeystore keystore.jks -srcstoretype JKS -destkeystore keystore.p12 -deststoretype PKCS12. This command imports all entries from a source JKS keystore (keystore.jks) into a destination PKCS12 keystore (keystore.p12). Reference: https://docs.oracle.com/en/java/javase/11/tools/keytool.html#GUID-5990A2E4-78E3-47B7-AE75-6D1826259549

質問 # 54
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 the modify the <http:listerner> in the generated flows to include a parameter to replace the version number
B. In Design Center, open the RAML and modify each operation to include the major version number
C. In Design Center, open the RAML and modify baseUn to include a variable that indicates the version number
D. 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

正解：C

解説：
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

質問 # 55
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 10 public locations with each API in its own schedule
B. From one private location with all 10 APIs in a single schedule
C. From one public location with all 10 APIs in a single schedule
D. From one public location 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 # 56
The HTTP Request operation raises an HTTP CONNECTIVITY error.
Which HTTP status code and body are returned to the web client?

A. HTTP Status Code:500.
Body 'Error in processing your request
B. HTTP Status Code:500.
Body 'Error in processing your request
C. HTTP Status Code:200.
Body 'Error in processing your request
D. HTTP Status Code:500.
Body 'The HTTP CONNECTIVITY Error description

正解：B

解説：
When the HTTP Request operation raises an HTTP CONNECTIVITY error, it triggers an on-error-continue handler that sets a payload with 'Error in processing your request'. Since no status code is explicitly set in this handler, it defaults to 500 (INTERNAL SERVER ERROR). Therefore, the web client receives an HTTP response with status code 500 and body 'Error in processing your request'. Reference: https://docs.mulesoft.com/mule-runtime/4.3/error-handling#on-error-continue

質問 # 57
A Mule application uses API autodiscovery to access and enforce policies for a RESTful implementation.

A. The name of the flow that has APlkit Console to receive all incoming RESTful operation requests.
B. Any of the APIkit generate implement flows
C. Northing because flowRef is an optional attribute which can be passed runtime
D. The name of the flow that has HTTP listener to receive all incoming RESTful operation requests

正解：D

解説：
To use API autodiscovery to access and enforce policies for a RESTful implementation, flowRef must be set to the name of the flow that has HTTP listener to receive all incoming RESTful operation requests. This way, API autodiscovery can identify the API implementation and associate it with the corresponding API specification and policies in API Manager. The flow that has HTTP listener is usually the main flow that contains the APIKit Router. Reference: https://docs.mulesoft.com/api-manager/2.x/api-auto-discovery-new-concept#flowref

質問 # 58
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