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Salesforce Mule-Arch-202 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Developing and Managing Mule Applications | 42% | - Disaster recovery and business continuity planning - Security implementation: authentication, authorization, encryption - Logging, monitoring, and alerting design - Application structure, modularity, and reusability - Governance, policies, and compliance enforcement - Testing strategies: unit, integration, performance, and automated testing - DataWeave transformation and expression usage - Connector selection and configuration best practices - Deployment pipelines, CI/CD, and DevOps practices |
| Topic 2: Initiating Integration Solutions on Anypoint Platform | 8% | - Application Network concepts and architecture - Operational models including Center for Enablement (C4E) - Integration strategy and requirements definition - API-led connectivity principles and design |
| Topic 3: Designing Architecture Using Integration Paradigms | 30% | - Event-driven architecture and messaging patterns - Data transformation, mapping, and data quality - Synchronous vs asynchronous integration patterns - API design standards, versioning, and lifecycle management - Batch processing and data synchronization strategies - Error handling, reliability, and transaction management - Legacy system integration and modernization approaches |
| Topic 4: Designing for the Runtime Plane Technology Architecture | 20% | - Runtime deployment options: CloudHub, On-Premises, Hybrid - Scalability, high availability, and fault tolerance design - Resource allocation and performance optimization - Runtime security and access control - Clustering and load balancing configurations |
Salesforce Certified MuleSoft Platform Integration Architect Sample Questions:
Question 1
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 one of the CloudHub workers in a deterministic round-robin fashion, thereby exactly balancing messages among the CloudHub workers
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 routed to the same CloudHub worker that retrieved the file, thereby binding all messages to only that one CloudHub worker
D. Each message is duplicated to all of the CloudHub workers, thereby sharing each message with all the CloudHub workers
Question 2
How does Mule runtime clustering improve system performance and fault tolerance? (Choose Two)
A. By storing data redundantly across cluster nodes.
B. By using a single thread model for operations.
C. By distributing workloads across multiple nodes.
D. By eliminating the need for external load balancers.
Question 3
What capability does the Salesforce Connector provide to Mule applications?
A. Batch processing of Salesforce records.
B. Execution of SOQL and SOSL queries within flows.
C. Integration with Salesforce Chatter only.
D. Real-time event tracking on all Salesforce objects.
Question 4
A company is planning on sending orders from Salesforce to a fulfillment system. The integration architect has been asked to plan for the integration.
Which two questions should the integration architect consider? Choose 2 answers
A. Can the fulfillment system implement a contract-first Outbound Messaging interface?
B. Can the fulfillment system create new addresses within the Order Create service?
C. Can the fulfillment system make a callback into Salesforce?
D. Is the product catalog data identical at all times in both systems?
Question 5
When are non-XA transactions preferred over traditional XA transactions in integration solutions?
A. When data consistency across multiple resources is critical.
B. When the integration involves multiple distributed transactions.
C. When fewer resources are involved and less overhead is desired.
D. When maximum data integrity and reliability are required.
Solutions:
| Question 1 Answer: B | Question 2 Answer: A,C | Question 3 Answer: B | Question 4 Answer: A,C | Question 5 Answer: C |
