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MuleSoft-Integration-Architect-I FAQs
Yes, the MuleSoft Integration Architect I exam is now called the Salesforce MuleSoft Platform Integration Architect exam.
The exam validates expertise in translating functional and non-functional requirements into scalable integration solutions using MuleSoft’s Anypoint Platform within the Salesforce ecosystem. It’s ideal for experienced architects with a deep understanding of API-led connectivity and integration patterns, typically requiring 1–2 years of hands-on MuleSoft experience.
Practice designing multi-layered API architectures (Experience, Process, System APIs) in Anypoint Platform using a trial account. Study Trailhead’s Salesforce MuleSoft Platform Integration Architect module and use practice test from Dumpspedia to master scenarios like API tier assignments and data model mapping.
The certification qualifies candidates for roles like Integration Architect or Solutions Architect, demonstrating expertise in building scalable, secure integrations. It’s highly valued in industries like finance and retail, where organizations leverage MuleSoft for seamless Salesforce integrations, potentially increasing project success rates by up to 30%.
Avoid relying solely on theory; practical experience with APIs, integration patterns, and MuleSoft tools is crucial. Also, don’t ignore exam objectives—focus on security, error handling, and architecture best practices, as these are frequently tested.
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Salesforce Certified MuleSoft Platform Integration Architect (Mule-Arch-202) Questions and Answers
An architect is designing a Mule application to meet the following two requirements:
1. The application must process files asynchronously and reliably from an FTPS server to a back-end database using VM intermediary queues for
load-balancing Mule events.
2. The application must process a medium rate of records from a source to a target system using a Batch Job scope.
To make the Mule application more reliable, the Mule application will be deployed to two CloudHub 1.0 workers.
Following MuleSoft-recommended best practices, how should the Mule application deployment typically be configured in Runtime Manger to best
support the performance and reliability goals of both the Batch Job scope and the file processing VM queues?
To implement predictive maintenance on its machinery equipment, ACME Tractors has installed thousands of IoT sensors that will send data for each machinery asset as sequences of JMS messages, in near real-time, to a JMS queue named SENSOR_DATA on a JMS server. The Mule application contains a JMS Listener operation configured to receive incoming messages from the JMS servers SENSOR_DATA JMS queue. The Mule application persists each received JMS message, then sends a transformed version of the corresponding Mule event to the machinery equipment back-end systems.
The Mule application will be deployed to a multi-node, customer-hosted Mule runtime cluster. Under normal conditions, each JMS message should be processed exactly once.
How should the JMS Listener be configured to maximize performance and concurrent message processing of the JMS queue?
What condition requires using a CloudHub Dedicated Load Balancer?
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