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Salesforce Mule-Arch-202 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Developing and Managing Mule Applications | 42% | - Application structure, modularity, and reusability
- Deployment pipelines, CI/CD, and DevOps practices
- DataWeave transformation and expression usage
- Logging, monitoring, and alerting design
- Testing strategies: unit, integration, performance, and automated testing
- Connector selection and configuration best practices
- Governance, policies, and compliance enforcement
- Disaster recovery and business continuity planning
- Security implementation: authentication, authorization, encryption
|
| Topic 2: Designing for the Runtime Plane Technology Architecture | 20% | - Resource allocation and performance optimization
- Clustering and load balancing configurations
- Runtime deployment options: CloudHub, On-Premises, Hybrid
- Runtime security and access control
- Scalability, high availability, and fault tolerance design
|
| Topic 3: Initiating Integration Solutions on Anypoint Platform | 8% | - API-led connectivity principles and design
- Integration strategy and requirements definition
- Application Network concepts and architecture
- Operational models including Center for Enablement (C4E)
|
| Topic 4: Designing Architecture Using Integration Paradigms | 30% | - Data transformation, mapping, and data quality
- Event-driven architecture and messaging patterns
- Legacy system integration and modernization approaches
- Error handling, reliability, and transaction management
- Synchronous vs asynchronous integration patterns
- Batch processing and data synchronization strategies
- API design standards, versioning, and lifecycle management
|
Salesforce Certified MuleSoft Platform Integration Architect Sample Questions:
How does non-blocking processing improve performance in Mule applications?
- A. By decreasing the complexity of the application.
- B. By increasing the size of the payload.
- C. By allowing multiple tasks to run in parallel without waiting for others to complete.
- D. By reducing the number of CPU cycles per task.
Reveal Solution
Discussion
Additional nodes are being added to an existing customer-hosted Mule runtime cluster to improve performance. Mule applications deployed to this cluster are invoked by API clients through a load balancer.
What is also required to carry out this change?
- A. External monitoring tools or log aggregators must be configured to recognize the new nodes
- B. A new load balancer entry must be configured to allow traffic to the new nodes
- C. New firewall rules must be configured to accommodate communication between API clients and the new nodes
- D. API impleme
Reveal Solution
Discussion
What is the primary purpose of using a Common/Canonical Data Model in Mule applications?
- A. To comply with local data storage laws.
- B. To reduce the number of transformations required between different systems.
- C. To allow for easier manual data entry.
- D. To increase the complexity of data mappings.
Reveal Solution
Discussion
How do non-functional requirements impact the selection of Anypoint Platform features for designing APIs? (Choose Three)
- A. Affect decisions on API lifecycle management tools
- B. Dictate the programming languages used
- C. Influence the choice of security features
- D. Control the choice of deployment locations
- E. Determine the API's response time and efficiency
Reveal Solution
Discussion
In an organization, there are multiple backend systems that contain customer-related dat a. There are multiple client systems that request the customer data from only one or more backend systems.
How can the integration between the source and target systems be designed to maximize efficiency?
- A. Create a single Experience API and expose multiple endpoints.
- B. Create multiple Experience APIs exposed to the different end users.
- C. Create a single Experience API with one endpoint for all consumers.
- D. Create a single Experience API with one endpoint for all consumers.
Reveal Solution
Discussion
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