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Salesforce Mule-Arch-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Architecting and Deploying API Implementations | 11% | - High availability and fault tolerance - Networking and security configuration - Runtime architecture and deployment options - CI/CD and DevOps integration |
| Topic 2: Managing APIs | 12% | - API lifecycle management - Rate limiting and throttling - API policies and security enforcement - Versioning and deprecation strategies |
| Topic 3: Explaining Application Network Basics | 11% | - API-led connectivity principles - Core concepts of application networks - Benefits of modern API design |
| Topic 4: Applying Integration Patterns | 11% | - Common integration patterns and use cases - Event-driven and synchronous integration - Scalability and performance patterns - Error handling and reliability patterns |
| Topic 5: Monitoring and Analyzing Application Networks | 8% | - Analytics and insight generation - Logging and alerting configuration - Monitoring strategies and tools - Operational visibility and optimization |
| Topic 6: Designing and Sharing APIs | 11% | - Asset sharing and reuse via Anypoint Exchange - API layering: Experience, Process, System APIs - API design standards and best practices - API specification and documentation |
| Topic 7: Meeting API Quality Goals | 8% | - Security and compliance standards - Performance and latency requirements - Reliability and availability targets - Maintainability and testability |
| Topic 8: Establishing Organizational and Platform Foundations | 17% | - Center for Enablement (C4E) operating model - Anypoint Platform architecture and components - Governance and organizational structure - Platform strategy and roadmap definition |
| Topic 9: Deploying API Implementations to CloudHub | 11% | - Worker sizing and resource planning - VPC and private space configuration - CloudHub architecture and capabilities - Deployment optimization and scaling |
Salesforce Certified MuleSoft Platform Architect Sample Questions:
1. An organization uses various cloud-based SaaS systems and multiple on-premises systems. The on-premises systems are an important part of the organization's application network and can only be accessed from within the organization's intranet.
What is the best way to configure and use Anypoint Platform to support integrations with both the cloud-based SaaS systems and on-premises systems?
A) Use CloudHub-deployed Mule runtimes in an Anypoint VPC managed by Anypoint Platform Private Cloud Edition control plane B) Use CloudHub-deployed Mule runtimes in the shared worker cloud managed by the MuleSoft-hosted Anypoint Platform control plane C) Use an on-premises installation of Mule runtimes that are completely isolated with NO external network access, managed by the Anypoint Platform Private Cloud Edition control plane D) Use a combination of Cloud Hub-deployed and manually provisioned on-premises Mule runtimes managed by the MuleSoft-hosted Anypoint Platform control plane
A) Option B
B) Option C
C) Option A
D) Option D
2. A set of tests must be performed prior to deploying API implementations to a staging environment. Due to data security and access restrictions, untested APIs cannot be granted access to the backend systems, so instead mocked data must be used for these tests. The amount of available mocked data and its contents is sufficient to entirely test the API implementations with no active connections to the backend systems. What type of tests should be used to incorporate this mocked data?
A) Functional tests (Blackbox)
B) Performance tests
C) Integration tests
D) Unit tests (Whitebox)
3. An organization is deploying their new implementation of the OrderStatus System API to multiple workers in CloudHub. This API fronts the organization's on-premises Order Management System, which is accessed by the API implementation over an IPsec tunnel.
What type of error typically does NOT result in a service outage of the OrderStatus System API?
A) A CloudHub worker fails with an out-of-memory exception
B) The Order Management System is Inaccessible due to a network outage in the organization's on-premises data center
C) The AWS region goes offline with a major network failure to the relevant AWS data centers
D) API Manager has an extended outage during the initial deployment of the API implementation
4. What is true about automating interactions with Anypoint Platform using tools such as Anypoint Platform REST APIs, Anypoint CU, or the Mule Maven plugin?
A) By default, the Anypoint CLI and Mule Maven plugin are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule applications
B) Access to Anypoint Platform APIs and Anypoint CU can be controlled separately through the roles and permissions in Anypoint Platform, so that specific users can get access to Anypoint CLI white others get access to the platform APIs
C) API policies can be applied to the Anypoint Platform APIs so that ONLY certain LOBs have access to specific functions
D) Anypoint Platform APIs can ONLY automate interactions with CloudHub, while the Mule Maven plugin is required for deployment to customer-hosted Mule runtimes
5. 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 B
B) Option C
C) Option A
D) Option D
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: C |
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