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Salesforce Mule-Arch-202 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deploying and managing APIs and integrations | 22% | - Select the correct Anypoint Platform deployment options for a given scenario - Design solutions for deploying Mule applications to CloudHub, Runtime Fabric, and on-premises - Manage API versions and contracts using API Manager and Anypoint Exchange - Define and apply policies for API security, traffic management, and quality of service |
| Topic 2: Configuring and using connectors | 14% | - Configure and use Anypoint Connector for HTTP - Configure and use Anypoint Connector for File, FTP, and SFTP - Configure and use Anypoint Connector for JMS - Configure and use Anypoint Connector for Database - Select and configure the correct connector for integration scenarios |
| Topic 3: Designing architecture using integration paradigms | 10% | - Create high-level integration architectures using API-led Connectivity - Design Mule applications and integration solutions using common messaging patterns and technologies - Create high-level integration architectures using web APIs and HTTP - Create high-level integration architectures using event-driven APIs and message brokers |
| Topic 4: Applying DevOps practices and operating integration solutions | 14% | - Identify the features and characteristics for automating interactions with Anypoint Platform - Design the logging configurations and options of Mule applications in all deployment options - Create the high-level design of continuous integration (CI) and continuous delivery (CD) pipelines for Mule applications using MuleSoft-provided Maven plugins - Identify the features and characteristics of Anypoint Monitoring in all deployment options |
| Topic 5: Designing and building Mule applications | 32% | - Design and use batch jobs for large data processing - Select and use the correct components for API implementations - Define and use caches and object stores - Specify reliable messaging, error handling, and reconnection strategies - Design Mule application flows and subflows for modularity and reuse |
| Topic 6: Initiating integration solutions on the Anypoint Platform | 8% | - Select deployment options of the Anypoint Platform control plane and runtime plane - Differentiate between functional and non-functional requirements for integration solutions - Select features of Anypoint Platform for designing and managing web and event-driven application programming interfaces (APIs) |
Salesforce Certified MuleSoft Platform Integration Architect Sample Questions:
An organization has a mission-critical application that processes some of its valuable real-time transactions. The application needs to be highly available, and the organization does not have any cost constraints. But, it expects minimal downtime.
Which high-availability option supports the organization's requirements?
- A. Cold Standby
- B. Active-Active
- C. Warm Standby
- D. Hot Standby - Active-Passive
How should logging configurations be designed in Mule applications to facilitate both performance and troubleshooting?
- A. All logs should be stored indefinitely for compliance purposes.
- B. Detailed debug-level logging should be enabled in all environments.
- C. Logs should be disabled to increase application performance.
- D. Logging levels and outputs should be environment-specific and configurable.
A company is tracking the number of patient COVID-19 tests given across a region, and the number of records handled by the system is in the millions. Test results must be accessible to doctors in offices, hospitals, and urgent-care facilities within three seconds of the request, particularly for patients at high risk.
Given this information, which test supports the system for the risk assessment?
- A. Unit test
- B. User acceptance test
- C. Integration test
- D. Performance test
What advantage does using Object Stores in cloud deployment options offer for Mule applications?
- A. Consistency and availability of state data across application instances
- B. Direct integration with third-party APIs
- C. Automated performance optimization
- D. Unlimited storage capacity
What are two considerations when designing Mule APIs and integrations that leverage an enterprise-wide common data model (CDM)? (Choose two.)
- A. The CDM typically does not model experience-level APIs
- B. All data types required by the APIs are not typically defined by the CDM
- C. The CDM typically does not model process-level APIs
- D. Changes made to the data model do not impact the implementations of the APIs
- E. The CDM models multiple definitions of a given data type based on separate domains
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