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Salesforce Mule-Arch-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Explaining Application Network Basics | 11% | - Benefits of modern API design - API-led connectivity principles - Core concepts of application networks |
| Establishing Organizational and Platform Foundations | 17% | - Platform strategy and roadmap definition - Governance and organizational structure - Center for Enablement (C4E) operating model - Anypoint Platform architecture and components |
| Designing and Sharing APIs | 11% | - API design standards and best practices - API layering: Experience, Process, System APIs - API specification and documentation - Asset sharing and reuse via Anypoint Exchange |
| Managing APIs | 12% | - Rate limiting and throttling - API policies and security enforcement - API lifecycle management - Versioning and deprecation strategies |
| Applying Integration Patterns | 11% | - Event-driven and synchronous integration - Error handling and reliability patterns - Common integration patterns and use cases - Scalability and performance patterns |
| Architecting and Deploying API Implementations | 11% | - High availability and fault tolerance - Networking and security configuration - CI/CD and DevOps integration - Runtime architecture and deployment options |
| Deploying API Implementations to CloudHub | 11% | - Deployment optimization and scaling - Worker sizing and resource planning - CloudHub architecture and capabilities - VPC and private space configuration |
| Meeting API Quality Goals | 8% | - Performance and latency requirements - Security and compliance standards - Maintainability and testability - Reliability and availability targets |
| Monitoring and Analyzing Application Networks | 8% | - Analytics and insight generation - Operational visibility and optimization - Monitoring strategies and tools - Logging and alerting configuration |
Salesforce Certified MuleSoft Platform Architect Sample Questions:
1. 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
2. An API experiences a high rate of client requests (TPS) vwth small message paytoads. How can usage limits be imposed on the API based on the type of client application?
A) Use a spike control policy that limits the number of requests for each client application type
B) Use a rate limiting policy and a client ID enforcement policy, each configured by the client application type
C) Use a cross-origin resource sharing (CORS) policy to limit resource sharing between client applications, configured by the client application type
D) Use an SLA-based rate limiting policy and assign a client application to a matching SLA tier based on its type
3. A Mule 4 API has been deployed to CloudHub and a Basic Authentication - Simple policy has been applied to all API methods and resources. However, the API is still accessible by clients without using authentication.
How is this possible?
A) One of the application's CloudHub workers restarted
B) The APE Router component is pointing to the incorrect Exchange version of the APT
C) The Autodiscovery element is not present, in the deployed Mule application
D) No... for client applications have been created of this API
4. A company stores financial transaction data in two legacy systems. For each legacy system, a separate, dedicated System API (SAPI) exposes data for that legacy system. A Process API (PAPI) merges the data retrieved from ail of the System APIs into a common format. Several API clients call the PAPI through its public domain name.
The company now wants to expose a subset of financial data to a newly developed mobile application that uses a different Bounded Context Data Model. The company wants to follow MuleSoft's best practices for building out an effective application network.
Following MuleSoft's best practices, how can the company expose financial data needed by the mobile application in a way that minimizes the impact on the currently running API clients, API implementations, and support asset reuse?
A) Develop and deploy is new PAPI implementation with data transformation and ... login to support this required endpoints of both mobile and web clients.
Deploy an API Proxy with an endpoint from API Manager that redirect the existing PAPI endpoints to the new PAPI.
B) Create a new mobile Experince API (EAPI) chat exposes that subset of PAPI endpoints.
Add transformtion login to the mobile Experince API implementation to make mobile data compatible with the required PAPIs.
C) Add two new Experience APIs (EAPI-i and EAPI-2}.
Add Mobile PAPI-2 to expose the Intended subset of financial data as requested.
Both PAPIs access the Legacy Systems via SAPI-1 and SAP]-2.
D) Add two new Experience APIs (EAPI-i and EAPI-2}.
Add Mobile PAPI-2 to expose the Intended subset of financial data as requested.
Both PAPIs access the Legacy Systems via SAPI-1 and SAP]-2.
5. Several times a week, an API implementation shows several thousand requests per minute in an Anypoint Monitoring dashboard, Between these bursts, the dashboard shows between two and five requests per minute. The API implementation is running on Anypoint Runtime Fabric with two non-clustered replicas, reserved vCPU 1.0 and vCPU Limit 2.0.
An API consumer has complained about slow response time, and the dashboard shows the 99 percentile is greater than 120 seconds at the time of the complaint. It also shows greater than 90% CPU usage during these time periods.
In manual tests in the QA environment, the API consumer has consistently reproduced the slow response time and high CPU usage, and there were no other API requests at this time. In a brainstorming session, the engineering team has created several proposals to reduce the response time for requests.
Which proposal should be pursued first?
A) Modify the API client to split the problematic request into smaller, less-demanding requests
B) Throttle the APT client to reduce the number of requests per minute
C) Increase the number of replicas of the API implementation
D) Increase the vCPU resources of the API implementation
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: D |








