Free MuleSoft-Integration-Architect-I Exam Braindumps
Salesforce Certified MuleSoft Integration Architect I Questions 126–130 (page: 27)

Updated On: 10-Feb-2026

An organization's security requirements mandate centralized control at all times over authentication and authorization of external applications when invoking web APIs managed on Anypoint Platform.

What Anypoint Platform feature is most idiomatic (used for its intended purpose), straightforward, and maintainable to use to meet this requirement?

  1. Client management configured in access management
  2. Identity management configured in access management
  3. Enterprise Security module coded in Mule applications
  4. External access configured in API Manager

Answer(s): A


Reference:

https://blogs.mulesoft.com/dev-guides/api-security-ways-to-authenticate-and-authorize/



An organization has defined a common object model in Java to mediate the communication between different Mule applications in a consistent way. A Mule application is being built to use this common object model to process responses from a SOAP API and a REST API and then write the processed results to an order management system.

The developers want Anypoint Studio to utilize these common objects to assist in creating mappings for various transformation steps in the Mule application.
What is the most idiomatic (used for its intended purpose) and performant way to utilize these common objects to map between the inbound and outbound systems in the Mule application?

  1. Use JAXB (XML) and Jackson (JSON) data bindings
  2. Use the WSS module
  3. Use the Java module
  4. Use the Transform Message component

Answer(s): A


Reference:

https://docs.mulesoft.com/mule-runtime/3.9/understanding-mule-configuration



A marketing organization is designing a Mule application to process campaign dat

  1. The Mule application will periodically check for a file in a SFTP location and process the records in the file. The size of the file can vary from 10MB to 5GB. Due to the limited availabiltty of vCores, the Mule application is deployed to a single CloudHub worker configured with vCore size 0.2.
    The application must transform and send different formats of this file to three different downstream SFTP locations.
    What is the most idiomatic (used for its intended purpose) and performant way to configure the SFTP operations or event sources to process the large files to support these deployment requirements?
  2. Use an in-memory repeatable stream
  3. Use a file-stored non-repeatable stream
  4. Use an in-memory non-repeatable stream
  5. Use a file-stored repeatable stream

Answer(s): A


Reference:

https://docs.mulesoft.com/mule-runtime/4.4/streaming-about



A manufacturing company is planning to deploy Mule applications to its own Azure Kubernetes Service infrastructure.

The organization wants to make the Mule applications more available and robust by deploying each Mule application to an isolated Mule runtime in a Docker container while managing all the Mule applications from the MuleSoft-hosted control plane.

What is the most idiomatic (used for its intended purpose) choice of runtime plane to meet these organizational requirements?

  1. Anypoint Platform Private Cloud Edition
  2. Anypoint Runtime Fabric
  3. CloudHub
  4. Anypoint Service Mesh

Answer(s): B


Reference:

https://blogs.mulesoft.com/dev-guides/how-to-tutorials/anypoint-runtime-fabric/



The AnyAirline organization's passenger reservations center is designing an integration solution that combines invocations of three different System APIs (bookFlight, bookHotel, and bookCar) in a business transaction. Each System API makes calls to a single database.

The entire business transaction must be rolled back when at least one of the APIs fails.

What is the most idiomatic (used for its intended purpose) way to integrate these APIs in near real- time that provides the best balance of consistency, performance, and reliability?

  1. Implement eXtended Architecture (XA) transactions between the API implementations Coordinate between the API implementations using a Saga pattern
    Implement caching in each API implementation to improve performance
  2. Implement local transactions within each API implementation
    Configure each API implementation to also participate in the same eXtended Architecture (XA) transaction
    Implement caching in each API implementation to improve performance
  3. Implement local transactions in each API implementation
    Coordinate between the API implementations using a Saga pattern
    Apply various compensating actions depending on where a failure occurs
  4. Implement an eXtended Architecture (XA) transaction manager in a Mule application using a Saga pattern
    Connect each API implementation with the Mule application using XA transactions Apply various compensating actions depending on where a failure occurs

Answer(s): C


Reference:

https://aws.amazon.com/blogs/compute/building-a-serverless-distributed-application-

using-a-saga-orchestration-pattern/



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