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Salesforce Mule-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Deploying API Implementations to CloudHub	11%	- Worker sizing and resource planning - CloudHub architecture and capabilities - Deployment optimization and scaling - VPC and private space configuration
Managing APIs	12%	- Versioning and deprecation strategies - Rate limiting and throttling - API policies and security enforcement - API lifecycle management
Establishing Organizational and Platform Foundations	17%	- Anypoint Platform architecture and components - Platform strategy and roadmap definition - Center for Enablement (C4E) operating model - Governance and organizational structure
Applying Integration Patterns	11%	- Error handling and reliability patterns - Event-driven and synchronous integration - Scalability and performance patterns - Common integration patterns and use cases
Monitoring and Analyzing Application Networks	8%	- Operational visibility and optimization - Logging and alerting configuration - Analytics and insight generation - Monitoring strategies and tools
Designing and Sharing APIs	11%	- API layering: Experience, Process, System APIs - API design standards and best practices - API specification and documentation - Asset sharing and reuse via Anypoint Exchange
Meeting API Quality Goals	8%	- Performance and latency requirements - Reliability and availability targets - Maintainability and testability - Security and compliance standards
Architecting and Deploying API Implementations	11%	- Networking and security configuration - CI/CD and DevOps integration - High availability and fault tolerance - Runtime architecture and deployment options
Explaining Application Network Basics	11%	- Benefits of modern API design - API-led connectivity principles - Core concepts of application networks

Salesforce Certified MuleSoft Platform Architect Sample Questions:

Question 1

A Rate Limiting policy is applied to an API implementation to protect the back-end system. Recently, there have been surges in demand that cause some API client POST requests to the API implementation to be rejected with policy-related errors, causing delays and complications to the API clients.
How should the API policies that are applied to the API implementation be changed to reduce the frequency of errors returned to API clients, while still protecting the back-end system?

A. Keep the Rate Limiting policy and add 9 Client ID Enforcement policy
B. Remove the Rate Limiting policy and add an HTTP Caching policy
C. Remove the Rate Limiting policy and add a Spike Control policy
D. Keep the Rate Limiting policy and add an SLA-based Spike Control policy

Question 2

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 A
B. Option B
C. Option D
D. Option C

Question 3

What Anypoint Connectors support transactions?

A. Database, JMS, VM
B. Database, VM, File
C. Database, JMS, VM, SFTP
D. Database, 3MS, HTTP

Question 4

Refer to the exhibit.

what is true when using customer-hosted Mule runtimes with the MuleSoft-hosted Anypoint Platform control plane (hybrid deployment)?

A. The MuleSoft-hosted Shared Load Balancer can be used to load balance API invocations to the Mule runtimes
B. API implementations can run successfully in customer-hosted Mule runtimes, even when they are unable to communicate with the control plane
C. Anypoint Runtime Manager initiates a network connection to a Mule runtime in order to deploy Mule applications
D. Anypoint Runtime Manager automatically ensures HA in the control plane by creating a new Mule runtime instance in case of a node failure

Question 5

Refer to the exhibit.
What is the best way to decompose one end-to-end business process into a collaboration of Experience, Process, and System APIs?
A) Handle customizations for the end-user application at the Process API level rather than the Experience API level B) Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs C) Always use a tiered approach by creating exactly one API for each of the 3 layers (Experience, Process and System APIs) D) Use a Process API to orchestrate calls to multiple System APIs, but NOT to other Process APIs