Mulesoft MCIA-Level-1 Exam Questions

40 Questions


Updation Date : 15-Dec-2025



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A mule application uses an HTTP request operation to involve an external API.

The external API follows the HTTP specification for proper status code usage.

What is possible cause when a 3xx status code is returned to the HTTP Request operation from the external API?


A. The request was not accepted by the external API


B. The request was Redirected to a different URL by the external API


C. The request was NOT RECEIVED by the external API


D. The request was ACCEPTED by the external API





B.
  The request was Redirected to a different URL by the external API

A Mule application is built to support a local transaction for a series of operations on a single database. The Mule application has a Scatter-Gather that participates in the local transaction.

What is the behavior of the Scatter-Gather when running within this local transaction?


A. Execution of each route within the Scatter-Gather occurs sequentially

Any error that occurs inside the Scatter-Gather will result in a rollback of all the database operations


B. Execution of all routes within the Scatter-Gather occurs in parallel

Any error that occurs inside the Scatter-Gather will result in a rollback of all the database operations


C. Execution of each route within the Scatter-Gather occurs sequentially

Any error that occurs inside the Scatter-Gather will NOT result in a rollback of any of the database operations


D. Execution of each route within the Scatter-Gather occurs in parallel

Any error that occurs inside the Scatter-Gather will NOT result in a rollback of any of the database operations





A.
  Execution of each route within the Scatter-Gather occurs sequentially

Any error that occurs inside the Scatter-Gather will result in a rollback of all the database operations

What API policy would LEAST likely be applied to a Process API?


A. Custom circuit breaker


B. Client ID enforcement


C. Rate limiting


D. JSON threat protection





D.
  JSON threat protection

What Is a recommended practice when designing an integration Mule 4 application that reads a large XML payload as a stream?


A. The payload should be dealt with as a repeatable XML stream, which must only be traversed (iterated-over) once and CANNOT be accessed randomly from DataWeave expressions and scripts


B. The payload should be dealt with as an XML stream, without converting it to a single Java object (POJO)


C. The payload size should NOT exceed the maximum available heap memory of the Mute runtime on which the Mule application executes


D. The payload must be cached using a Cache scope If It Is to be sent to multiple backend systems





C.
  The payload size should NOT exceed the maximum available heap memory of the Mute runtime on which the Mule application executes

What aspects of a CI/CD pipeline for Mute applications can be automated using MuleSoft-provided Maven plugins?


A. Compile, package, unit test, deploy, create associated API instances in API Manager B Import from API designer, compile, package, unit test, deploy, publish to Am/point Exchange


B. Compile, package, unit test, validate unit test coverage, deploy


C. Compile, package, unit test, deploy, integration test





C.
  Compile, package, unit test, deploy, integration test

An organization will deploy Mule applications to Cloudhub, Business requirements mandate that all application logs be stored ONLY in an external splunk consolidated logging service and NOT in Cloudhub.

In order to most easily store Mule application logs ONLY in Splunk, how must Mule application logging be configured in Runtime Manager, and where should the log4j2 splunk appender be defined?


A. Keep the default logging configuration in RuntimeManager
Define the splunk appender in ONE global log4j.xml file that is uploaded once to Runtime Manager to support at Mule application deployments.


B. Disable Cloudhub logging in Runtime Manager
Define the splunk appender in EACH Mule application’s log4j2.xml file


C. Disable Cloudhub logging in Runtime Manager
Define the splunk appender in ONE global log4j.xml file that is uploaded once to Runtime Manger to support at Mule application deployments.


D. Keep the default logging configuration in Runtime Manager
Define the Splunk appender in EACH Mule application log4j2.xml file





B.
  Disable Cloudhub logging in Runtime Manager
Define the splunk appender in EACH Mule application’s log4j2.xml file


Explanation:

By default, CloudHub replaces a Mule application's log4j2.xml file with a CloudHub log4j2.xml file. In CloudHub, you can disable the CloudHub provided Mule application log4j2 file. This allows integrating Mule application logs with custom or third-party log management systems

According to MuleSoft, which system integration term describes the method, format, and protocol used for communication between two system?


A. Component


B. interaction


C. Message


D. Interface





D.
  Interface


Explanation:

According to MuleSoft, the term "interface" describes the method, format, and protocol used for communication between two systems. An interface defines how systems interact, specifying the data formats (e.g., JSON, XML), protocols (e.g., HTTP, FTP), and methods (e.g., GET, POST) that are used to exchange information. Properly designed interfaces ensure compatibility and seamless communication between integrated systems.

References:

• MuleSoft Glossary of Integration Terms

• System Interfaces and APIs

A company is implementing a new Mule application that supports a set of critical functions driven by a rest API enabled, claims payment rules engine hosted on oracle ERP. As designed the mule application requires many data transformation operations as it performs its batch processing logic.

The company wants to leverage and reuse as many of its existing java-based capabilities (classes, objects, data model etc.) as possible

What approach should be considered when implementing required data mappings and transformations between Mule application and Oracle ERP in the new Mule application?


A. Create a new metadata RAML classes in Mule from the appropriate Java objects and then perform transformations via Dataweave


B. From the mule application, transform via theXSLT model


C. Transform by calling any suitable Java class from Dataweave


D. Invoke any of the appropriate Java methods directly, create metadata RAML classes and then perform required transformations via Dataweave





C.
  Transform by calling any suitable Java class from Dataweave


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