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Salesforce Mule-Arch-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Applying Integration Patterns | 11% | - Event-driven and synchronous integration - Common integration patterns and use cases - Error handling and reliability patterns - Scalability and performance patterns |
| 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 |
| 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 |
| Monitoring and Analyzing Application Networks | 8% | - Analytics and insight generation - Logging and alerting configuration - Monitoring strategies and tools - Operational visibility and optimization |
| Managing APIs | 12% | - Rate limiting and throttling - API policies and security enforcement - Versioning and deprecation strategies - API lifecycle management |
| Designing and Sharing APIs | 11% | - Asset sharing and reuse via Anypoint Exchange - API specification and documentation - API layering: Experience, Process, System APIs - API design standards and best practices |
| Explaining Application Network Basics | 11% | - Core concepts of application networks - Benefits of modern API design - API-led connectivity principles |
| Deploying API Implementations to CloudHub | 11% | - Deployment optimization and scaling - Worker sizing and resource planning - VPC and private space configuration - CloudHub architecture and capabilities |
| Meeting API Quality Goals | 8% | - Performance and latency requirements - Reliability and availability targets - Security and compliance standards - Maintainability and testability |
Salesforce Certified MuleSoft Platform Architect Sample Questions:
Question #1
What Mule application deployment scenario requires using Anypoint Platform Private Cloud Edition or Anypoint Platform for Pivotal Cloud Foundry?
A. When ALL backend systems in the application network are deployed in the organization's intranet
B. When regulatory requirements mandate on-premises processing of EVERY data item, including meta-data
C. When it Is required to make ALL applications highly available across multiple data centers
D. When it is required that ALL APIs are private and NOT exposed to the public cloud
Question #2
When designing an upstream API and its implementation, the development team has been advised to NOT set timeouts when invoking a downstream API, because that downstream API has no SLA that can be relied upon. This is the only downstream API dependency of that upstream API.
Assume the downstream API runs uninterrupted without crashing. What is the impact of this advice?
A. A toad-dependent timeout of less than 1000 ms will be applied by the Mule runtime in which the downstream API implementation executes
B. An SLA for the upstream API CANNOT be provided
C. The invocation of the downstream API will run to completion without timing out
D. A default timeout of 500 ms will automatically be applied by the Mule runtime in which the upstream API implementation executes
Question #3
An Order API must be designed that contains significant amounts of integration logic and involves the invocation of the Product API.
The power relationship between Order API and Product API is one of "Customer/Supplier", because the Product API is used heavily throughout the organization and is developed by a dedicated development team located in the office of the CTO.
What strategy should be used to deal with the API data model of the Product API within the Order API?
A. Work with the API data types of the Product API directly when implementing the integration logic of the Order API such that the Order API uses the same (unchanged) data types as the Product API
B. Convince the development team of the Product API to adopt the API data model of the Order API such that the integration logic of the Order API can work with one consistent internal data model
C. Start an organization-wide data modeling initiative that will result in an Enterprise Data Model that will then be used in both the Product API and the Order API
D. Implement an anti-corruption layer in the Order API that transforms the Product API data model into internal data types of the Order API
Question #4
Which scenario is suited for MUnit tests instead of integration tests?
A. For read-only interactions to any dependencies (such as other web APIs)
B. When no mocking is permissible
C. For tests that are implemented using SoapUI
D. When testing does not require knowledge of implementation details
Question #5
A TemperatureSensors API instance is defined in API Manager in the PROD environment of the CAR_FACTORY business group. An AcmelemperatureSensors Mule application implements this API instance and is deployed from Runtime Manager to the PROD environment of the CAR_FACTORY business group. A policy that requires a valid client ID and client secret is applied in API Manager to the API instance.
Where can an API consumer obtain a valid client ID and client secret to call the AcmeTemperatureSensors Mule application?
A. In access management, from the PROD environment of the CAR_FACTORY business group
B. In Anypoint Exchange, from an API client application that has been approved for the TemperatureSensors API instance
C. In secrets manager, request access to the Shared Secret static username/password
D. In API Manager, from the PROD environment of the CAR_FACTORY business group
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: B | Question #3 Correct Answer: D | Question #4 Correct Answer: A | Question #5 Correct Answer: B |


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