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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified MuleSoft Platform Architect |
| Exam Number: | Mule-Arch-201 |
| Certificate Validity Period: | 2 years |
| Passing Score: | 70% |
| Exam Format: | Multiple-choice, Multiple-select, Unscored questions |
| Available Languages: | Japanese, English |
| Real Exam Qty: | 60-65 |
| Exam Duration: | 120 minutes |
| Exam Price: | USD 400 |
| Related Certifications: | Salesforce Certified MuleSoft Integration Architect Salesforce Certified MuleSoft Developer |
| Recommended Training: | MuleSoft Platform Architect Training Anypoint Platform Architecture Course |
| Exam Registration: | Salesforce Certification Registration Pearson VUE Scheduling |
| Sample Questions: | Salesforce Mule-Arch-201 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; experience with Anypoint Platform and integration architecture recommended |
| Official Syllabus URL: | https://trailheadacademy.salesforce.com/certificate/exam-mule-plat-arch---Mule-Arch-201 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: Deploying API Implementations to CloudHub | 11% | - Deployment optimization and scaling - CloudHub architecture and capabilities - Worker sizing and resource planning - VPC and private space configuration |
| Topic 3: Applying Integration Patterns | 11% | - Scalability and performance patterns - Event-driven and synchronous integration - Common integration patterns and use cases - Error handling and reliability patterns |
| Topic 4: Monitoring and Analyzing Application Networks | 8% | - Analytics and insight generation - Logging and alerting configuration - Monitoring strategies and tools - Operational visibility and optimization |
| Topic 5: Managing APIs | 12% | - Versioning and deprecation strategies - API lifecycle management - Rate limiting and throttling - API policies and security enforcement |
| Topic 6: Meeting API Quality Goals | 8% | - Performance and latency requirements - Security and compliance standards - Reliability and availability targets - Maintainability and testability |
| Topic 7: Architecting and Deploying API Implementations | 11% | - High availability and fault tolerance - Runtime architecture and deployment options - Networking and security configuration - CI/CD and DevOps integration |
| Topic 8: Explaining Application Network Basics | 11% | - Core concepts of application networks - Benefits of modern API design - API-led connectivity principles |
| Topic 9: Establishing Organizational and Platform Foundations | 17% | - Center for Enablement (C4E) operating model - Platform strategy and roadmap definition - Governance and organizational structure - Anypoint Platform architecture and components |
Question 1
A European company has customers all across Europe, and the IT department is migrating from an older platform to MuleSoft. The main requirements are that the new platform should allow redeployments with zero downtime and deployment of applications to multiple runtime versions, provide security and speed, and utilize Anypoint MQ as the message service.
Which runtime plane should the company select based on the requirements without additional network configuration?
A. MuleSoft-hosted runtime plane (CloudHub)
B. Customer-hosted runtime plane
C. Runtime Fabric on VMs / Bare Metal for the runtime plane
D. Anypoint Runtime Fabric on Self-Managed Kubernetes for the runtime plane
Question 2
An auto manufacturer has a mature CI/CD practice and wants to automate packaging and deployment of any Mule applications to various deployment targets, including CloudHub workers/replicas, customer-hosted Mule runtimes, and Anypoint Runtime Fabric.
Which MuleSoft-provided tool or component facilitates automating the packaging and deployment of Mule applications to various deployment targets as part of the company's CI/CD practice?
A. Anypoint Platform CLI
B. Mule Maven plugin
C. Anypoint Runtime Manager
D. Anypoint Platform REST APIs
Question 3
Version 3.0.1 of a REST API implementation represents time values in PST time using ISO 8601 hh:mm:ss format. The API implementation needs to be changed to instead represent time values in CEST time using ISO 8601 hh:mm:ss format. When following the semver.org semantic versioning specification, what version should be assigned to the updated API implementation?
A. 3.0.1
B. 4.0.0
C. 3.0.2
D. 3.1.0
Question 4
Traffic is routed through an API proxy to an API implementation. The API proxy is managed by API Manager and the API implementation is deployed to a CloudHub VPC using Runtime Manager. API policies have been applied to this API. In this deployment scenario, at what point are the API policies enforced on incoming API client requests?
A. At a MuleSoft-hosted load balancer
B. At the API proxy
C. At both the API proxy and the API implementation
D. At the API implementation
Question 5
A retail company is using an Order API to accept new orders. The Order API uses a JMS queue to submit orders to a backend order management service. The normal load for orders is being handled using two (2) CloudHub workers, each configured with 0.2 vCore. The CPU load of each CloudHub worker normally runs well below 70%. However, several times during the year the Order API gets four times (4x) the average number of orders. This causes the CloudHub worker CPU load to exceed 90% and the order submission time to exceed 30 seconds. The cause, however, is NOT the backend order management service, which still responds fast enough to meet the response SLA for the Order API. What is the MOST resource-efficient way to configure the Mule application's CloudHub deployment to help the company cope with this performance challenge?
A. Use a vertical CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
B. Permanently increase the size of each of the two (2) CloudHub workers by at least four times (4x) to one (1) vCore
C. Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
D. Permanently increase the number of CloudHub workers by four times (4x) to eight (8) CloudHub workers
Solutions:
| Question 1 Answer: A | Question 2 Answer: B | Question 3 Answer: B | Question 4 Answer: B | Question 5 Answer: C |
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