Mule-Arch-202最新考題 & Mule-Arch-202考試

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Salesforce Mule-Arch-202 Exam Syllabus Topics:

Section	Weight	Objectives
Designing for the Runtime Plane Technology Architecture	20%	- Runtime deployment options: CloudHub, On-Premises, Hybrid - Resource allocation and performance optimization - Clustering and load balancing configurations - Scalability, high availability, and fault tolerance design - Runtime security and access control
Designing Architecture Using Integration Paradigms	30%	- Batch processing and data synchronization strategies - Error handling, reliability, and transaction management - Data transformation, mapping, and data quality - Event-driven architecture and messaging patterns - API design standards, versioning, and lifecycle management - Synchronous vs asynchronous integration patterns - Legacy system integration and modernization approaches
Developing and Managing Mule Applications	42%	- Application structure, modularity, and reusability - Testing strategies: unit, integration, performance, and automated testing - Deployment pipelines, CI/CD, and DevOps practices - Governance, policies, and compliance enforcement - DataWeave transformation and expression usage - Security implementation: authentication, authorization, encryption - Connector selection and configuration best practices - Disaster recovery and business continuity planning - Logging, monitoring, and alerting design
Initiating Integration Solutions on Anypoint Platform	8%	- Operational models including Center for Enablement (C4E) - Integration strategy and requirements definition - Application Network concepts and architecture - API-led connectivity principles and design

>> Mule-Arch-202最新考題 <<

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最新的 Salesforce MuleSoft Mule-Arch-202 免費考試真題 (Q53-Q58):

問題 #53
How should logging configurations be designed in Mule applications to facilitate both performance and troubleshooting?

A. Logs should be disabled to increase application performance.
B. Detailed debug-level logging should be enabled in all environments.
C. Logging levels and outputs should be environment-specific and configurable.
D. All logs should be stored indefinitely for compliance purposes.

答案：C

問題 #54
An organization plans to use the Salesforce Connector as an intermediate layer for applications that need access to Salesforce events such as adding, changing, or deleting objects, topics, documents, and channels.
What are two features to keep in mind when using the Salesforce Connector for this integration? (Choose two.)

A. REST API
B. Streaming API
C. GraphQL
D. Chatter API
E. gRPC

答案：A,E

問題 #55
What is a key feature of Anypoint Monitoring that enhances its utility across different deployment options?

A. Customizable alerts based on application metrics.
B. Automated scaling based on traffic.
C. Real-time code modification.
D. Unlimited data retention for all metrics.

答案：A

問題 #56
A large enterprise customer operating in a high regulated industry is planning to implement Salesforce for customer facing associates in both Sales and Service, and back-office staff. The business processes that Salesforce supports are critical to the business.
Salesforce will be integrated to multiple back-office systems to provide a single interface for associates. Reliability and monitoring of these integrations are required as associates support customers.
Which integration solution should the architect consider when planning the implementation?

A. Architect Services in back-office systems to support callouts from Salesforce and build reliability, monitoring and reporting capabilities.
B. Decouple back-office system callouts into separate distinct services that have inbuilt error logging and monitoring frameworks.
C. Build a custom integration gateway to support back-office system integrations and ensure reliability and monitoring capabilities.
D. Leverage Middleware for all back-office system integrations ensuring real time alerting, monitoring and reporting capabilities.

答案：D

問題 #57
A Mule Process API is being designed to provide product usage details. The Mule application must join together the responses from an Inventory API and a Product Sales History API with the least latency.
How should each API request be called in the Mule application to minimize overall latency?

A. Call each API request in a Batch Step within a Batch Job
B. In a separate route of a Scatter-Gather
C. In a separate lookup call from a DataWeave reduce function
D. Call each API request in a separate Mule flow

答案：B

問題 #58
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