MuleSoft-Integration-Architect-I인증시험덤프공부, MuleSoft-Integration-Architect-I높은통과율시험자료

발달한 네트웨크 시대에 인터넷에 검색하면 많은Salesforce인증 MuleSoft-Integration-Architect-I시험공부자료가 검색되어 어느 자료로 시험준비를 해야 할지 망서이게 됩니다. 이 글을 보는 순간 다른 공부자료는 잊고ExamPassdump의Salesforce인증 MuleSoft-Integration-Architect-I시험준비 덤프를 주목하세요. 최강 IT전문가팀이 가장 최근의Salesforce인증 MuleSoft-Integration-Architect-I 실제시험 문제를 연구하여 만든Salesforce인증 MuleSoft-Integration-Architect-I덤프는 기출문제와 예상문제의 모음 공부자료입니다. ExamPassdump의Salesforce인증 MuleSoft-Integration-Architect-I덤프만 공부하면 시험패스의 높은 산을 넘을수 있습니다.

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성공을 위해 길을 찾고 실패를 위해 구실을 찾지 않는다는 말이 있습니다. Salesforce인증 MuleSoft-Integration-Architect-I시험이 영어로 출제되어 시험패스가 너무 어렵다 혹은 회사다니느라 공부할 시간이 없다는 등등은 모두 공부하기싫은 구실에 불과합니다. ExamPassdump의 Salesforce인증 MuleSoft-Integration-Architect-I덤프만 마련하면 실패를 성공으로 바꿀수 있는 기적을 체험할수 있습니다.

Salesforce MuleSoft-Integration-Architect-I 시험요강:

주제	소개
주제 1	Designing Architecture Using Integration Paradigms: This topic focuses on creating high-level integration architectures using various paradigms. It includes API-led connectivity, web APIs and HTTP, event-driven APIs, and message brokers, and designing Mule application using messaging patterns and technologies.
주제 2	Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.
주제 3	Designing Integration Solutions to Meet Reliability Requirements: It includes selecting alternatives to traditional transactions, recognizing the purpose of various scopes and strategies, differentiating disaster recovery and high availability, and using local and XA transactions.
주제 4	Designing Integration Solutions to Meet Security Requirements: This topic emphasizes securing access to the Anypoint Platform and APIs, using Anypoint Security, counteracting security vulnerabilities, and understanding audit logging capabilities.
주제 5	Designing and Developing Mule Applications: It includes selecting application properties, using fundamental features, designing with core routers, understanding the Salesforce Connector, and leveraging core connectors.
주제 6	Applying DevOps Practices and Operating Integration Solutions: Its sub-topics are related to designing CI CD pipelines with MuleSoft plugins, automating interactions with Anypoint Platform, designing logging configurations, and identifying Anypoint Monitoring features.
주제 7	Initiating Integration Solutions on Anypoint Platform: Summarizing MuleSoft Catalyst and Catalyst Knowledge Hub, differentiating between functional and non-functional requirements, selecting features for designing and managing APIs, and choosing deployment options are its sub-topics.
주제 8	Designing for the Runtime Plane Technology Architecture: It includes analyzing Mule runtime clusters, designing solutions for CloudHub, choosing Mule runtime domains, leveraging Mule 4 class loader isolation, and understanding the reactive event processing model.

최신 Salesforce MuleSoft MuleSoft-Integration-Architect-I 무료샘플문제 (Q236-Q241):

질문 # 236
An organization currently uses a multi-node Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications. The organization is planning to transition to a deployment model based on Docker containers in a Kubernetes cluster. The organization has already created a standard Docker image containing a Mule runtime and all required dependencies (including a JVM), but excluding the Mule application itself.
What is an expected outcome of this transition to container-based Mule application deployments?

A. Guaranteed consistency of execution environments across all deployments of a Mule application
B. Required change to the URL endpoints used by clients to send requests to the Mule applications
C. Required redesign of Mule applications to follow microservice architecture principles
D. Required migration to the Docker and Kubernetes-based Anypoint Platform - Private Cloud Edition

정답：C

설명：
* Organization can continue using existing load balancer even if backend application changes are there. So option A is ruled out.
* As Mule runtime is within their datacenter, this model is RTF and not PCE. So option C is ruled out.
Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications -- This mean PCE or Hybird not RTF - Also mentioned in Question is that - Mule runtime is hosting several Mule Application, so that also rules out RTF and as for hosting multiple Application it will have Domain project which need redesign to make it microservice architecture
--------------------------------------------------------------------------------------------------------------- Correct answer: Required redesign of Mule applications to follow microservice

질문 # 237
Refer to the exhibit.

What is the type data format shown in the exhibit?

A. JSON
B. XML
C. YAML
D. CSV

정답：A

질문 # 238
An architect is designing a Mule application to meet the following two requirements:
1. The application must process files asynchronously and reliably from an FTPS server to a back-end database using VM intermediary queues for load-balancing Mule events.
2. The application must process a medium rate of records from a source to a target system using a Batch Job scope.
To make the Mule application more reliable, the Mule application will be deployed to two CloudHub 1.0 workers.
Following MuleSoft-recommended best practices, how should the Mule application deployment typically be configured in Runtime Manger to best support the performance and reliability goals of both the Batch Job scope and the file processing VM queues?

A. Check the Non-persistent VM queues checkbox in the application deployment configuration
B. In the Runtime Manager Properties tab, enable persistent VM queues for the FTPS connector
C. In the Runtime Manager Properties tab, disable persistent VM queues for Batch Job scopes
D. Check the Persistent VM queues checkbox in the application deployment configuration

정답：D

설명：
* Requirements:
* Asynchronous and Reliable File Processing: The application must process files from an FTPS server to a back-end database using VM intermediary queues for load balancing.
* Batch Job Processing: The application must process records from a source to a target system using a Batch Job scope.
* Persistent VM Queues:
* Reliability: Persistent VM queues ensure that messages are not lost even if there is a system failure or restart. This is critical for reliable file processing and load balancing.
* Asynchronous Processing: Persistent queues allow for asynchronous processing, where messages can be stored and processed independently of the producer and consumer lifecycles.
* MuleSoft Best Practices:
* Persistent VM Queues for Load Balancing: Using persistent VM queues aligns with MuleSoft best practices for ensuring reliable message processing and load balancing between Mule events.
* High Availability: With CloudHub 1.0 workers, enabling persistent VM queues helps maintain high availability and reliability of the application.
* Batch Job Scope: Ensuring persistence for VM queues also benefits batch processing by maintaining consistency and ensuring all records are processed even in the event of disruptions.
* Configuration in Runtime Manager:
* Deployment Configuration: When deploying the Mule application in Runtime Manager, check the "Persistent VM queues" checkbox to enable this feature.
* Impact: This configuration ensures that the application meets its performance and reliability goals by safeguarding the integrity and continuity of the processing tasks.
References:
* MuleSoft Documentation on VM Queues: VM Queues
* MuleSoft Best Practices: MuleSoft Best Practices
* CloudHub Deployment Guide: CloudHub Deployment

질문 # 239
A customer wants to use the mapped diagnostic context (MDC) and logging variables to enrich its logging and improve tracking by providing more context in the logs.
The customer also wants to improve the throughput and lower the latency of message processing.
As an Mulesoft integration architect can you advise, what should the customer implement to meet these requirements?

A. Useasync logger at the level equal to DEBUG orTRACEand use pattern
layout with [%MDC] in the log4j2.xml configuration file and then configure the logging variables
B. Use synchronous logging at the INFO DEBUG or Trace level and use pattern layout with [% MDC] in the log4j2.xml configuration file and then configure the logging variables
C. Useasync logger at the level greater than INFO and use pattern layout with [%MDC] in the log4j2,xml configuration file and then configure the logging variables
D. Use synchronous logging and use pattern layout with [%MDC] in the log4j2.xml configuration file and then configure the logging variables

정답：C

설명：
To meet the requirements of enriching logging with more context and improving throughput while reducing latency, the customer should use an asynchronous logging approach. Here's why option B is correct:
* Async Logger: Asynchronous logging helps in improving the performance by decoupling the logging from the main thread of execution. This reduces the latency of message processing since logging operations are offloaded to a separate thread.
* Logging Level Greater than INFO: Logging at levels such as WARN, ERROR, or FATAL ensures that only essential logs are written asynchronously, further enhancing performance. Avoiding DEBUG or TRACE levels unless necessary reduces the overhead of logging.
* Pattern Layout with [%MDC]: Using the pattern layout with [%MDC] in the log4j2.xml configuration file allows the inclusion of mapped diagnostic context in the logs. MDC is a feature that provides context-specific information, such as transaction IDs or user IDs, which helps in tracing and debugging.
Example configuration in log4j2.xml:
<Configuration status="WARN"> <Appenders> <Console name="Console" target="SYSTEM_OUT">
<PatternLayout pattern="%d{yyyy-MM-dd HH:mm:ss} [%t] %-5p %c{1} - %msg [%MDC]%n"/> </Console> <Async name="Async"> <AppenderRef ref="Console"/> </Async> </Appenders> <Loggers>
<Root level="WARN"> <AppenderRef ref="Async"/> </Root> </Loggers> </Configuration> This configuration ensures that the logs are enriched with context information provided by MDC and processed asynchronously to maintain high throughput and low latency.
References
* Log4j2 Asynchronous Logging
* Mapped Diagnostic Context (MDC) in Log4j2

질문 # 240
In one of the critical payment related mule application, transaction is being used . As an enhancement to implementation , scatter gather route is introduced which is also the part of transaction group. Scatter gather route has 4 routes.
What will be the behavior of the Mule application in case of error occurs in 4th route of the scatter-gather router and transaction needs to be rolled back?

A. Scatter Gather router cannot be part of transaction
B. Only errored route will be rolled back
C. All routes will be rolled back

정답：C

설명：
*Scatter Gather: When running within a transaction, Scatter Gather does not execute in parallel. This means that the second route is executed after the first one is processed, the third after the second one, etc. In case of error, all routes will be rolled back

질문 # 241
......

Salesforce MuleSoft-Integration-Architect-I 시험이 어렵다고해도 ExamPassdump의 Salesforce MuleSoft-Integration-Architect-I시험잡이 덤프가 있는한 아무리 어려운 시험이라도 쉬워집니다. 어려운 시험이라 막무가내로 시험준비하지 마시고 문항수도 적고 모든 시험문제를 커버할수 있는Salesforce MuleSoft-Integration-Architect-I자료로 대비하세요. 가장 적은 투자로 가장 큰 득을 보실수 있습니다.

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MuleSoft-Integration-Architect-I인증시험덤프공부, MuleSoft-Integration-Architect-I높은통과율시험자료

MuleSoft-Integration-Architect-I높은 통과율 시험자료 - MuleSoft-Integration-Architect-I최신 인증시험정보

Salesforce MuleSoft-Integration-Architect-I 시험요강:

최신 Salesforce MuleSoft MuleSoft-Integration-Architect-I 무료샘플문제 (Q236-Q241):

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