Updated Apr 09, 2026 Verified Pass MuleSoft-Integration-Architect-I Exam in First Attempt Guaranteed [Q26-Q40]


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Updated Apr 09, 2026 Verified Pass MuleSoft-Integration-Architect-I Exam in First Attempt Guaranteed

Free MuleSoft-Integration-Architect-I Sample Questions and 100% Cover Real Exam Questions (Updated 275 Questions)

Salesforce MuleSoft-Integration-Architect-I Exam Syllabus Topics:

Topic Details
Topic 1
  • Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.
Topic 2
  • Designing Architecture Using Integration Paradigms: This topic focuses on creating high-level integration architectures using various paradigms. It includes API-led connectivity, web APIs and HTTP, event-driven APIs, and message brokers, and designing Mule application using messaging patterns and technologies.
Topic 3
  • Designing and Developing Mule Applications: It includes selecting application properties, using fundamental features, designing with core routers, understanding the Salesforce Connector, and leveraging core connectors.
Topic 4
  • Designing Integration Solutions to Meet Reliability Requirements: It includes selecting alternatives to traditional transactions, recognizing the purpose of various scopes and strategies, differentiating disaster recovery and high availability, and using local and XA transactions.
Topic 5
  • Applying DevOps Practices and Operating Integration Solutions: Its sub-topics are related to designing CI
  • CD pipelines with MuleSoft plugins, automating interactions with Anypoint Platform, designing logging configurations, and identifying Anypoint Monitoring features.
Topic 6
  • Designing for the Runtime Plane Technology Architecture: It includes analyzing Mule runtime clusters, designing solutions for CloudHub, choosing Mule runtime domains, leveraging Mule 4 class loader isolation, and understanding the reactive event processing model.

 

NO.26 A customer wants to use the mapped diagnostic context (MDC) and logging variables to enrich its logging and improve tracking by providing more context in the logs.
The customer also wants to improve the throughput and lower the latency of message processing.
As an Mulesoft integration architect can you advise, what should the customer implement to meet these requirements?

 
 
 
 

NO.27 A set of integration Mule applications, some of which expose APIs, are being created to enable a new business process. Various stakeholders may be impacted by this. These stakeholders are a combination of semi-technical users (who understand basic integration terminology and concepts such as JSON and XML) and technically skilled potential consumers of the Mule applications and APIs.
What Is an effective way for the project team responsible for the Mule applications and APIs being built to communicate with these stakeholders using Anypoint Platform and its supplied toolset?

 
 
 
 

NO.28 Which Salesforce API is invoked to deploy, retrieve, create, update, or delete customization information, such as custom object definitions using Mule Salesforce Connectors in a Mule application?

 
 
 
 

NO.29 Refer to the exhibit.

An organization uses a 2-node Mute runtime cluster to host one stateless API implementation. The API is accessed over HTTPS through a load balancer that uses round-robin for load distribution.
Two additional nodes have been added to the cluster and the load balancer has been configured to recognize the new nodes with no other change to the load balancer.
What average performance change is guaranteed to happen, assuming all cluster nodes are fully operational?

 
 
 
 

NO.30 When designing an upstream API and its implementation, the development team has been advised to not set timeouts when invoking downstream API. Because the downstream API has no SLA that can be relied upon. This is the only donwstream API dependency of that upstream API. Assume the downstream API runs uninterrupted without crashing. What is the impact of this advice?

 
 
 
 

NO.31 An organization is migrating all its Mule applications to Runtime Fabric (RTF). None of the Mule applications use Mule domain projects.
Currently, all the Mule applications have been manually deployed to a server group among several customer hosted Mule runtimes.
Port conflicts between these Mule application deployments are currently managed by the DevOps team who carefully manage Mule application properties files.
When the Mule applications are migrated from the current customer-hosted server group to Runtime Fabric (RTF), fo the Mule applications need to be rewritten and what DevOps port configuration responsibilities change or stay the same?

 
 
 
 

NO.32 An organization plans to use the Anypoint Platform audit logging service to log Anypoint MQ actions.
What consideration must be kept in mind when leveraging Anypoint MQ Audit Logs?

 
 
 

NO.33 A system API EmployeeSAPI is used to fetch employee’s data from an underlying SQL database.
The architect must design a caching strategy to query the database only when there is an update to the employees stable or else return a cached response in order to minimize the number of redundant transactions being handled by the database.
What must the architect do to achieve the caching objective?

 
 
 
 

NO.34 What Anypoint Connectors support transactions?

 
 
 
 

NO.35 Refer to the exhibit.

A Mule application is deployed to a cluster of two customer-hosted Mute runtimes. The Mute application has a flow that polls a database and another flow with an HTTP Listener.
HTTP clients send HTTP requests directly to individual cluster nodes.
What happens to database polling and HTTP request handling in the time after the primary (master) node of the cluster has railed, but before that node is restarted?

 
 
 
 

NO.36 Refer to the exhibit.

One of the backend systems invoked by an API implementation enforces rate limits on the number of requests a particular client can make. Both the backend system and the API implementation are deployed to several non-production environments in addition to production.
Rate limiting of the backend system applies to all non-production environments. The production environment, however, does NOT have any rate limiting.
What is the most effective approach to conduct performance tests of the API implementation in a staging (non- production) environment?

 
 
 
 

NO.37 Organization wants to achieve high availability goal for Mule applications in customer hosted runtime plane.
Due to the complexity involved, data cannot be shared among of different instances of same Mule application.
What option best suits to this requirement considering high availability is very much critical to the organization?

 
 
 
 

NO.38 A Mule application is being designed To receive nightly a CSV file containing millions of records from an external vendor over SFTP, The records from the file need to be validated, transformed. And then written to a database. Records can be inserted into the database in any order.
In this use case, what combination of Mule components provides the most effective and performant way to write these records to the database?

 
 
 
 

NO.39 An organization is building a test suite for their applications using m-unit. The integration architect has recommended using test recorder in studio to record the processing flows and then configure unit tests based on the capture events What are the two considerations that must be kept in mind while using test recorder (Choose two answers)

 
 
 
 
 

NO.40 As an enterprise architect, what are the two reasons for which you would use a canonical data model in the new integration project using Mulesoft Anypoint platform ( choose two answers )

 
 
 
 
 

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