최신Mule-Dev-301인기자격증시험덤프최신자료인기덤프

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Salesforce인증 Mule-Dev-301시험을 등록했는데 마땅한 공부자료가 없어 고민중이시라면Fast2test의Salesforce인증 Mule-Dev-301덤프를 추천해드립니다. Fast2test의Salesforce인증 Mule-Dev-301덤프는 거의 모든 시험문제를 커버하고 있어 시험패스율이 100%입니다. Fast2test제품을 선택하시면 어려운 시험공부도 한결 가벼워집니다.

Salesforce Mule-Dev-301 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Secure Data at Rest and in Transit20%- Implement security best practices
  • 1. Secure sensitive data in Mule applications
  • 2. Expose APIs over HTTPS
  • 3. Create and distribute certificates and keys
  • 4. Implement TLS mutual authentication
  • 5. Implement secure property management
Topic 2: Implement Monitorable Mule Applications15%- Implement monitoring and logging
  • 1. Change log levels dynamically
  • 2. Implement monitoring dashboards and alerts
  • 3. Expose health check endpoints
  • 4. Configure and evaluate application logs
Topic 3: Expose Production-Ready Anypoint Platform Managed APIs13%- Manage APIs with Anypoint Platform
  • 1. Configure API policies
  • 2. Implement API versioning
  • 3. Implement server-side API caching
  • 4. Request and manage API access
  • 5. Implement HTTP callbacks
Topic 4: Implement Performant and Reliable Mule Applications27%- Optimize reliability and performance
  • 1. Implement asynchronous processing
  • 2. Build fault-tolerant message processing
  • 3. Implement ObjectStore persistence
  • 4. Implement performant API invocations
  • 5. Validate assertions using validation modules
Topic 5: Implement Maintainable and Modular Mule Applications and Their Maven Builds25%- Implement modular Mule application structures
  • 1. Execute MUnit tests with Maven
  • 2. Create custom API rules
  • 3. Implement unit testing with MUnit framework
  • 4. Implement Maven-based automated deployments
  • 5. Optimize Maven build configurations

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Mule-Dev-301인증공부문제 - Mule-Dev-301최신버전 덤프공부

제일 빠른 시일내에 제일 간단한 방법으로Salesforce인증 Mule-Dev-301시험을 패스하는 방법이 없냐구요? Fast2test의Salesforce인증 Mule-Dev-301덤프를 공부하시면 가능합니다. Fast2test의Salesforce인증 Mule-Dev-301덤프는 많은 분들이 검증한 가장 유력한Salesforce인증 Mule-Dev-301시험공부자료입니다. 덤프의 문제만 기억하시면 패스는 문제없기에 제일 빠른 시일내에 시험을 패스하여 자격증 취득이 가능합니다.

최신 Salesforce MuleSoft Mule-Dev-301 무료샘플문제 (Q54-Q59):

질문 # 54
An API has been developed and deployed to CloudHub. Among the policies applied to this API is an allowlist of IP addresses. A developer wants to run a test in Anypoint Studio and does not want any policies applied because their workstation is not included in the allowlist.
What must the developer do in order to run this test locally without the policies applied?

정답:C

설명:
API Autodiscovery is what pairs a Mule application with a particular API Manager instance. The apiId in the Autodiscovery configuration identifies the managed API from which the runtime obtains API configuration and policies. Therefore, using an environment-specific configuration for local development prevents the locally running application from binding to the production API instance and consequently prevents those production policies from governing local test traffic.
This is different from setting anypoint.platform.gatekeeper=disabled. Gatekeeper controls whether a managed API is blocked while policy information is unavailable or being synchronized; disabling Gatekeeper is not equivalent to disabling API Manager policies. Policies can still be downloaded and applied when the application remains paired through Autodiscovery.
Running the application unchanged is also incorrect because a locally executed Mule runtime can connect to API Manager when Autodiscovery and platform credentials are configured. MuleSoft explicitly documents local Autodiscovery for policy testing. Deactivating the shared API is likewise inappropriate because it modifies centrally managed configuration rather than isolating the developer's local environment.
Reference topics: API Autodiscovery; API Instance ID; Environment-specific Configuration; Mule Gateway Gatekeeper.
Official documentation: https://docs.mulesoft.com/mule-gateway/mule-gateway-autodiscovery-overview


질문 # 55
A system API that communicates to an underlying MySQL database is deploying to CloudHub. The DevOps team requires a readiness endpoint to monitor all system APIs.
Which strategy should be used to implement this endpoint?

정답:A

설명:
To implement a readiness endpoint to monitor all system APIs, the developer should create a dedicated endpoint that responds with the API status and reachability of the underlying systems. This way, the DevOps team can check if the system API is ready to receive requests and if it can communicate with its backend systems without errors. Reference: https://docs.mulesoft.com/mule-runtime/4.3/deployment-strategies#readiness-probes


질문 # 56
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?

정답:D

설명:
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


질문 # 57
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 # 58
Which pattern can a web API use to notify its client of state changes as soon as they occur?

정답:D

설명:
A web API can use HTTP Webhook to notify its client of state changes as soon as they occur. A webhook is an HTTP callback that allows an API to send real-time notifications to another system or application when an event happens. The client registers a URL with the API where it wants to receive notifications, and then the API sends an HTTP request to that URL with information about the event. Reference: https://docs.mulesoft.com/connectors/webhook/webhook-connector


질문 # 59
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