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Salesforce Mule-Arch-202 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Designing Architecture Using Integration Paradigms	30%	- API design standards, versioning, and lifecycle management - Data transformation, mapping, and data quality - Error handling, reliability, and transaction management - Synchronous vs asynchronous integration patterns - Batch processing and data synchronization strategies - Event-driven architecture and messaging patterns - Legacy system integration and modernization approaches
Topic 2: Developing and Managing Mule Applications	42%	- Deployment pipelines, CI/CD, and DevOps practices - Application structure, modularity, and reusability - Governance, policies, and compliance enforcement - Disaster recovery and business continuity planning - Testing strategies: unit, integration, performance, and automated testing - Security implementation: authentication, authorization, encryption - Logging, monitoring, and alerting design - Connector selection and configuration best practices - DataWeave transformation and expression usage
Topic 3: Designing for the Runtime Plane Technology Architecture	20%	- Scalability, high availability, and fault tolerance design - Clustering and load balancing configurations - Runtime security and access control - Resource allocation and performance optimization - Runtime deployment options: CloudHub, On-Premises, Hybrid
Topic 4: Initiating Integration Solutions on Anypoint Platform	8%	- Integration strategy and requirements definition - Operational models including Center for Enablement (C4E) - API-led connectivity principles and design - Application Network concepts and architecture

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Salesforce Certified MuleSoft Platform Integration Architect Sample Questions (Q19-Q24):

NEW QUESTION # 19
An airline's passenger reservations center is designing an integration solution that combines invocations of three different System APIs (bookFlight, bookHotel, and bookCar) in a business transaction. Each System API makes calls to a single database. The entire business transaction must be rolled back when at least one of the APIs fails.
What is the most direct way to integrate these APIs in near real-time that provides the best balance of consistency, performance, and reliability?

A. Implement local transactions within each API implementation
B. Implement local transactions in each API implementation
C. Implement eXtended Architecture (XA) transactions between the API implementations
D. Implement an eXtended Architecture (XA) transaction manager in a Mule application using a Saga pattern

Answer: B

NEW QUESTION # 20
How do non-functional requirements impact the selection of Anypoint Platform features for designing APIs? (Choose Three)

A. Influence the choice of security features
B. Determine the API's response time and efficiency
C. Control the choice of deployment locations
D. Affect decisions on API lifecycle management tools
E. Dictate the programming languages used

Answer: A,B,D

NEW QUESTION # 21
Which statement is true about the network connections when a Mule application uses a JMS connector to interact with a JMS provider (message broker)?

A. To complete sending a JMS message, the JMS connector must establish a network connection with the JMS message recipient
B. The JMS connector supports both sending and receiving JMS messages over the protocol determined by the JMS provider
C. For the Mule application to receive JMS messages, the JMS provider initiates a network connection to the Mule application's JMS connector and then the JMS provider pushes messages along this connection
D. The Advanced Message Queuing Protocol (AMQP) can be used by the JMS connector to portably establish connections to various types of JMS providers

Answer: B

NEW QUESTION # 22
Which Mule connectors support local transactions?

A. JMS Connector
B. VM Connector
C. HTTP Connector
D. Salesforce Connector

Answer: A

NEW QUESTION # 23
Refer to the exhibit.

In this Mule application, the retrieveFile flow's event source reads a CSV file from a remote SFTP server and then publishes each record in the CSV file to a VM queue. The processCustomerRecord flow's VM Listener receives messages from the same VM queue and then processes each message separately. This Mule application is deployed to multiple CloudHub workers with persistent queues enabled. How are messages routed to the CloudHub workers as messages are received by the VM Listener?

A. Each message is routed to the same CloudHub worker that retrieved the file, thereby binding all messages to only that one CloudHub worker
B. Each message is routed to one of the available CloudHub workers in a non-deterministic, non-round-robin fashion, thereby approximately balancing messages among the CloudHub workers
C. Each message is duplicated to all of the CloudHub workers, thereby sharing each message with all the CloudHub workers
D. Each message is routed to one of the CloudHub workers in a deterministic round-robin fashion, thereby exactly balancing messages among the CloudHub workers

Answer: B

NEW QUESTION # 24
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