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Salesforce Mule-Arch-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing APIs | 12% | - API policies and security enforcement - API lifecycle management - Versioning and deprecation strategies - Rate limiting and throttling |
| Topic 2: Designing and Sharing APIs | 11% | - API layering: Experience, Process, System APIs - API design standards and best practices - Asset sharing and reuse via Anypoint Exchange - API specification and documentation |
| Topic 3: Monitoring and Analyzing Application Networks | 8% | - Monitoring strategies and tools - Operational visibility and optimization - Logging and alerting configuration - Analytics and insight generation |
| Topic 4: Deploying API Implementations to CloudHub | 11% | - VPC and private space configuration - Deployment optimization and scaling - Worker sizing and resource planning - CloudHub architecture and capabilities |
| Topic 5: Explaining Application Network Basics | 11% | - Core concepts of application networks - Benefits of modern API design - API-led connectivity principles |
| Topic 6: Establishing Organizational and Platform Foundations | 17% | - Platform strategy and roadmap definition - Anypoint Platform architecture and components - Center for Enablement (C4E) operating model - Governance and organizational structure |
| Topic 7: Applying Integration Patterns | 11% | - Common integration patterns and use cases - Error handling and reliability patterns - Event-driven and synchronous integration - Scalability and performance patterns |
| Topic 8: Meeting API Quality Goals | 8% | - Reliability and availability targets - Performance and latency requirements - Maintainability and testability - Security and compliance standards |
| Topic 9: Architecting and Deploying API Implementations | 11% | - Runtime architecture and deployment options - CI/CD and DevOps integration - Networking and security configuration - High availability and fault tolerance |
Salesforce Certified MuleSoft Platform Architect Sample Questions:
1. An organization is implementing a Quote of the Day API that caches today's quote.
What scenario can use the GoudHub Object Store via the Object Store connector to persist the cache's state?
A) When there is one CloudHub deployment of the API implementation to three CloudHub workers that must share the cache state
B) When there is one deployment of the API implementation to CloudHub and anottV deployment to a customer-hosted Mule runtime that must share the cache state
C) When there are three CloudHub deployments of the API implementation to three separate CloudHub regions that must share the cache state
D) When there are two CloudHub deployments of the API implementation by two Anypoint Platform business groups to the same CloudHub region that must share the cache state
2. Refer to the exhibit.
Three business processes need to be implemented, and the implementations need to communicate with several different SaaS applications.
These processes are owned by separate (siloed) LOBs and are mainly independent of each other, but do share a few business entities. Each LOB has one development team and their own budget In this organizational context, what is the most effective approach to choose the API data models for the APIs that will implement these business processes with minimal redundancy of the data models?
A) Build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities
B) Build distinct data models for each API to follow established micro-services and Agile API-centric practices C) Build all API data models using XML schema to drive consistency and reuse across the organization D) Build one centralized Canonical Data Model (Enterprise Data Model) that unifies all the data types from all three business processes, ensuring the data model is consistent and non-redundant
A) Option D
B) Option A
C) Option B
D) Option C
3. A customer wants to monitor and gain insights about the number of requests coming in a given time period as well as to measure key performance indicators (response times, CPU utilization, number of active APIs).
Which tool provides these data insights?
A) Anypoint Monitoring
B) APT Manager
C) Functional Monitoring
D) Runtime Alerts
4. An operations team is analyzing the effort needed to set up monitoring of their application network. They are looking at which API invocation metrics can be used to identify and predict trouble without having to write custom scripts or install additional analytics software or tools.
Which type of metrics can satisfy this goal of directly identifying and predicting failures?
A) The number and types of past API invocations across the application network
B) The number and types of API policy violations per day
C) The effectiveness of the application network based on the level of reuse
D) The ROI from each APT invocation
5. An API implementation is deployed to CloudHub.
What conditions can be alerted on using the default Anypoint Platform functionality, where the alert conditions depend on the end-to-end request processing of the API implementation?
A) When the API is invoked by an unrecognized API client
B) When the response time of API invocations exceeds a threshold
C) When a particular API client invokes the API too often within a given time period
D) When the API receives a very high number of API invocations
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: B |






