Mule-Dev-301시험대비자료, Mule-Dev-301시험대비공부자료

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Itexamdump는 전문적인 IT인증시험덤프를 제공하는 사이트입니다.Mule-Dev-301인증시험을 패스하려면 아주 현병한 선택입니다. Itexamdump에서는Mule-Dev-301관련 자료도 제공함으로 여러분처럼 IT 인증시험에 관심이 많은 분들한테 아주 유용한 자료이자 학습가이드입니다. Itexamdump는 또 여러분이 원하도 필요로 하는 최신 최고버전의Mule-Dev-301문제와 답을 제공합니다.

Salesforce Mule-Dev-301 Exam Syllabus Topics:

SectionWeightObjectives
Implement Maintainable and Modular Mule Applications and Maven Builds25%- Implement automated deployment
- Modularize applications and builds
- Execute tests with Maven
- Create reusable libraries
- Build custom policies and processors
Secure Data at Rest and in Transit20%- Manage secure environment properties
- Manage keys and certificates
- Expose and invoke APIs over HTTPS
- Implement security policies
Design and Implement API-led Connectivity13%- Implement API autodiscovery
- Implement server-side caching
- Implement HTTP callbacks/webhooks
Implement Performant and Reliable Mule Applications27%- Handle HTTP API invocations and errors
- Use ObjectStore for persistence
- Validate messages and payloads
- Implement reliable messaging patterns
- Optimize performance and throughput
Implement Monitorable Mule Applications15%- Implement message correlation
- Expose health check endpoints
- Monitor applications and runtimes
- Implement logging and log management

>> Mule-Dev-301시험대비자료 <<

Mule-Dev-301시험대비자료 시험준비에 가장 좋은 덤프자료

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최신 Salesforce MuleSoft Mule-Dev-301 무료샘플문제 (Q33-Q38):

질문 # 33
What is the MuleSoft recommended method to encrypt sensitive property data?

정답:A

설명:
The MuleSoft recommended method to encrypt sensitive property data is to use the Secure Properties Tool that comes with Anypoint Studio. This tool allows encrypting properties files with a secret key and then decrypting them at runtime using the same key. The encryption key and sensitive data should be different for each environment to ensure security and avoid accidental exposure of sensitive data. Reference: https://docs.mulesoft.com/mule-runtime/4.3/secure-configuration-properties


질문 # 34
A Mule application includes a subflow containing a Scatter.Gather scope. Within each log of the Scatter.Gatter. an HTTP connector calls a PUT endpoint to modify records in different upstream system. The subflow is called inside an Unit successful scope to retry if a transitory exception is raised.
A technical spike is being performed to increase reliability of the Mule application.
Which steps should be performed within the Mule flow above the ensure idempontent behavior?

정답:A

설명:
To ensure idempotent behavior within a Mule flow that contains a subflow with a Scatter-Gather scope, the developer should ensure an error-handling flow performs corrective actions to roll back all changes if any leg of the Scatter-Gather fails. Idempotency means that multiple identical requests have the same effect as a single request. Therefore, if one of the HTTP requests inside the Scatter-Gather fails, the error-handling flow should undo any changes made by other successful requests to ensure consistency and avoid partial updates. Reference: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept https://docs.mulesoft.com/mule-runtime/4.3/error-handling


질문 # 35
When registering a client application with an existing API instance or API Group instance, what is required to manually approve or reject request access?

정답:C

설명:
To manually approve or reject request access when registering a client application with an existing API instance or API Group instance, it is required to configure the SLA tier for the application and have one of the following roles or permissions: Organization Administrator, API Manager Environment Administrator, or Manage Contracts permission. These roles or permissions allow managing client applications and contracts in API Manager. Reference: https://docs.mulesoft.com/api-manager/2.x/client-applications#managing-client-applications-and-contracts


질문 # 36
A developer has created the first version of an API designed for business partners to work with commodity prices.
What should the developer do to allow more than one major version of the same API to be exposed by the implementation?

정답:A

설명:
Major API versions should be distinguishable at the API's external URI rather than being encoded independently into every resource operation or into internal Mule flow names. MuleSoft recommends including the consumer-facing API version in the application URL, for example /v1/..., so clients can explicitly select the major API contract they intend to consume.
RAML supports this cleanly through the baseUri. A version variable can be included in the base URI, for example baseUri: https://api.example.com/v{version}, with the corresponding version or base URI parameter defined in the specification. This keeps the versioning concern at the API contract and endpoint-addressing level.
Changing every operation would unnecessarily duplicate version information. Modifying generated APIkit flow names affects Mule implementation internals but does not provide distinct public API addresses.
Similarly, manually changing generated HTTP listeners after scaffolding makes the implementation diverge from the API specification and weakens API-led lifecycle management.
MuleSoft's versioning guidance explicitly recommends exposing the major version in the API URL and using simple major identifiers such as v1, v2, and so forth.
Reference topics: API Versioning; RAML baseUri; Base URI Parameters; Major API Versions.
Official documentation: https://docs.mulesoft.com/exchange/to-change-raml-version


질문 # 37
A Mule application deployed to a standalone Mule runtime uses VM queues to publish messages to be consumed asynchronously by another flow.
In the case of a system failure, what will happen to in-flight messages in the VM queues that have not been consumed?

정답:D

설명:
VM Connector supports both transient and persistent asynchronous queues, and their recovery behavior differs fundamentally. MuleSoft specifies that transient queues provide better performance but are not reliable when the runtime or host fails. Persistent queues are slower because their content must be persisted, but they provide recovery across failures.
For a standalone Mule runtime, persistent VM queues serialize and store queued message data on disk.
Consequently, if the Mule runtime or underlying system stops before an in-flight queued message is consumed, the message can remain available and processing can resume after the runtime becomes operational again.
A transient queue stores its queued state in volatile runtime memory. A system failure destroys that state, so an unconsumed transient message cannot be assumed to survive restart.
Therefore, neither "all messages are lost" nor "all messages are recovered" accurately describes VM behavior; durability depends specifically on the queue type.
For workloads where asynchronous events must survive process or host failure in a supported standalone runtime architecture, a persistent VM queue is therefore the appropriate choice.
Reference topics: VM Connector; persistent queues; transient queues; asynchronous messaging; durability and recovery.
Official documentation: https://docs.mulesoft.com/vm-connector/latest/vm-reference


질문 # 38
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