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MuleSoft Certified Integration Architect - Level 1 Questions 111–115 (page: 24)

Updated On: 10-Feb-2026

A Mule application is synchronizing customer data between two different database systems.
What is the main benefit of using eXtended Architecture (XA) transactions over local transactions to synchronize these two different database systems?

  1. An XA transaction synchronizes the database systems with the least amount of Mule configuration or coding
  2. An XA transaction handles the largest number of requests in the shortest time
  3. An XA transaction automatically rolls back operations against both database systems if any operation falls
  4. An XA transaction writes to both database systems as fast as possible

Answer(s): B


Reference:

https://docs.oracle.com/middleware/1213/wls/PERFM/llrtune.htm#PERFM997



An organization has implemented a continuous integration (CI) lifecycle that promotes Mule applications through code, build, and test stages. To standardize the organization's CI journey, a new dependency control approach is being designed to store artifacts that include information such as dependencies, versioning, and build promotions.
To implement these process improvements, the organization will now require developers to maintain all dependencies related to Mule application code in a shared location.
What is the most idiomatic (used for its intended purpose) type of system the organization should use in a shared location to standardize all dependencies related to Mule application code?

  1. A MuleSoft-managed repository at repository.mulesoft.org
  2. A binary artifact repository
  3. API Community Manager
  4. The Anypoint Object Store service at cloudhub.io

Answer(s): C



An organization has deployed both Mule and non-Mule API implementations to integrate its customer and order management systems. All the APIs are available to REST clients on the public internet.
The organization wants to monitor these APIs by running health checks: for example, to determine if an API can properly accept and process requests. The organization does not have subscriptions to any external monitoring tools and also does not want to extend its IT footprint.
What Anypoint Platform feature provides the most idiomatic (used for its intended purpose) way to monitor the availability of both the Mule and the non-Mule API implementations?

  1. API Functional Monitoring
  2. Runtime Manager
  3. API Manager
  4. Anypoint Visualizer

Answer(s): D


Reference:

https://docs.mulesoft.com/visualizer/



The ABC company has an Anypoint Runtime Fabric on VMs/Bare Metal (RTF-VM) appliance installed on its own customer-hosted AWS infrastructure.
Mule applications are deployed to this RTF-VM appliance. As part of the company standards, the Mule application logs must be forwarded to an external log management tool (LMT).
Given the company's current setup and requirements, what is the most idiomatic (used for its intended purpose) way to send Mule application logs to the external LMT?

  1. In RTF-VM, install and configure the external LTM's log-forwarding agent
  2. In RTF-VM, edit the pod configuration to automatically install and configure an Anypoint Monitoring agent
  3. In each Mule application, configure custom Log4j settings
  4. In RTF-VM. configure the out-of-the-box external log forwarder

Answer(s): A


Reference:

https://help.mulesoft.com/s/article/Enable-external-log-forwarding-for-Mule- applications-deployed-in-RTF



An organization is designing an integration Mule application to process orders by submitting them to a back-end system for offline processing. Each order will be received by the Mule application through an HTTPS POST and must be acknowledged immediately. Once acknowledged, the order will be submitted to a back-end system. Orders that cannot be successfully submitted due to rejections from the back-end system will need to be processed manually (outside the back-end system).
The Mule application will be deployed to a customer-hosted runtime and is able to use an existing ActiveMQ broker if needed. The ActiveMQ broker is located inside the organization’s firewall. The back-end system has a track record of unreliability due to both minor network connectivity issues and longer outages.
What idiomatic (used for their intended purposes) combination of Mule application components and ActiveMQ queues are required to ensure automatic submission of orders to the back-end system while supporting but minimizing manual order processing?

  1. An Until Successful scope to call the back-end system One or more ActiveMQ long-retry queues
    One or more ActiveMQ dead-letter queues for manual processing
  2. One or more On Error scopes to assist calling the back-end system An Until Successful scope containing VM components for long retries A persistent dead-letter VM queue configured in CloudHub
  3. One or more On Error scopes to assist calling the back-end system One or more ActiveMQ long-retry queues
    A persistent dead-letter object store configured in the CloudHub Object Store service
  4. A Batch Job scope to call the back-end system
    An Until Successful scope containing Object Store components for long retries A dead-letter object store configured in the Mule application

Answer(s): A



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