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Salesforce MuleSoft-Integration-Architect-I Exam Prep
Salesforce Certified MuleSoft Integration Architect I (Page 5 )

Updated On: 7-Oct-2026
Page 5 of 56
PDF with 273 Questions

What aspect of logging is only possible for Mule applications deployed to customer-hosted Mule runtimes, but NOT for Mule applications deployed to CloudHub?

  1. To send Mule application log entries to Splunk
  2. To change tog4j2 tog levels in Anypoint Runtime Manager without having to restart the Mule application
  3. To log certain messages to a custom log category
  4. To directly reference one shared and customized log4j2.xml file from multiple Mule applications

Answer(s): D

Explanation:

* Correct answer is To directly reference one shared and customized log4j2.xml file from multiple Mule applications. Key word to note in the answer is directly.
* By default, CloudHub replaces a Mule application's log4j2.xml file with a CloudHub log4j2.xml file. This specifies the CloudHub appender to write logs to the CloudHub logging service.
* You cannot modify CloudHub log4j2.xml file to add any custom appender. But there is a process in order to achieve this. You need to raise a request on support portal to disable CloudHub provided Mule application log4j2 file.



* Once this is done , Mule application's log4j2.xml file is used which you can use to send/export application logs to other log4j2 appenders, such as a custom logging system MuleSoft does not own any responsibility for lost logging data due to misconfiguration of your own log4j appender if it happens by any chance.



* One more difference between customer-hosted Mule runtimes and CloudHub deployed mule instance is that
- CloudHub system log messages cannot be sent to external log management system without installing custom CH logging configuration through support
- where as Customer-hosted runtime can send system and application log to external log management system
MuleSoft


Reference:

https://docs.mulesoft.com/runtime-manager/viewing-log-data https://docs.mulesoft.com/runtime-manager/custom-log-appender



What is true about the network connections when a Mule application uses a JMS connector to interact with a JMS provider (message broker)?

  1. To complete sending a JMS message, the JMS connector must establish a network connection with the JMS message recipient
  2. To receive messages into the Mule application, the JMS provider initiates a network connection to the JMS connector and pushes messages along this connection
  3. The JMS connector supports both sending and receiving of JMS messages over the protocol determined by the JMS provider
  4. The AMQP protocol can be used by the JMS connector to portably establish connections to various types of JMS providers

Answer(s): C

Explanation:

* To send message or receive JMS (Java Message Service) message no separate network connection need to be established. So option A, C and D are ruled out.

Answer(s): The JMS connector supports both sending and receiving of JMS messages over the protocol determined by the JMS provider.
* JMS Connector enables sending and receiving messages to queues and topics for any message service that implements the JMS specification.

* JMS is a widely used API for message-oriented middleware.
* It enables the communication between different components of a distributed application to be loosely coupled, reliable, and asynchronous.
MuleSoft Doc


Reference:

https://docs.mulesoft.com/jms-connector/1.7/



Refer to the exhibit.



A business process involves the receipt of a file from an external vendor over SFTP. The file needs to be parsed and its content processed, validated, and ultimately persisted to a database. The delivery mechanism is expected to change in the future as more vendors send similar files using other mechanisms such as file transfer or HTTP POST.
What is the most effective way to design for these requirements in order to minimize the impact of future change?

  1. Use a MuleSoft Scatter-Gather and a MuleSoft Batch Job to handle the different files coming from different sources
  2. Create a Process API to receive the file and process it using a MuleSoft Batch Job while delegating the data save process to a System API
  3. Create an API that receives the file and invokes a Process API with the data contained In the file, then have the Process API process the data using a MuleSoft Batch Job and other System APIs as needed
  4. Use a composite data source so files can be retrieved from various sources and delivered to a MuleSoft Batch Job for processing

Answer(s): C

Explanation:

* Scatter-Gather is used for parallel processing, to improve performance. In this scenario, input files are coming from different vendors so mostly at different times. Goal here is to minimize the impact of future change. So scatter Gather is not the correct choice.
* If we use 1 API to receive all files from different Vendors, any new vendor addition will need changes to that 1 API to accommodate new requirements. So Option A and C are also ruled out.
* Correct answer is Create an API that receives the file and invokes a Process API with the data contained in the file, then have the Process API process the data using a MuleSoft Batch Job and other System APIs as needed. Answer to this question lies in the API led connectivity approach.
* API-led connectivity is a methodical way to connect data to applications through a series of reusable and purposeful modern APIs that are each developed to play a specific role ­ unlock data from systems, compose data into processes, or deliver an experience. System API : System API tier, which provides consistent, managed, and secure access to backend systems. Process APIs : Process APIs take core assets and combines them with some business logic to create a higher level of value. Experience APIs : These are designed specifically for consumption by a specific end-user app or device.
So in case of any future plans , organization can only add experience API on addition of new Vendors, which reuse the already existing process API. It will keep impact minimal.



Refer to the exhibit.



A shopping cart checkout process consists of a web store backend sending a sequence of API invocations to an Experience API, which in turn invokes a Process API. All API invocations are over HTTPS POST. The Java web store backend executes in a Java EE application server, while all API implementations are Mule applications executing in a customer -hosted Mule runtime. End-to-end correlation of all HTTP requests and responses belonging to each individual checkout Instance is required. This is to be done through a common correlation ID, so that all log entries written by the web store backend, Experience API implementation, and Process API implementation include the same correlation ID for all requests and responses belonging to the same checkout instance.
What is the most efficient way (using the least amount of custom coding or configuration) for the web store backend and the implementations of the Experience API and Process API to participate in end-to-end correlation of the API invocations for each checkout instance? A)
The web store backend, being a Java EE application, automatically makes use of the thread-local correlation ID generated by the Java EE application server and automatically transmits that to the Experience API using HTTP-standard headers
No special code or configuration is included in the web store backend, Experience API, and Process API implementations to generate and manage the correlation ID



B)

The web store backend generates a new correlation ID value at the start of checkout and sets it on the X-CORRELATlON-lt HTTP request header In each API invocation belonging to that checkout No special code or configuration is included in the Experience API and Process API implementations to generate and manage the correlation ID



C)
The Experience API implementation generates a correlation ID for each incoming HTTP request and passes it to the web store backend in the HTTP response, which includes it in all subsequent API invocations to the Experience API.
The Experience API implementation must be coded to also propagate the correlation ID to the Process API in a suitable HTTP request header



D)
The web store backend sends a correlation ID value in the HTTP request body In the way required by the Experience API
The Experience API and Process API implementations must be coded to receive the custom correlation ID In the HTTP requests and propagate It in suitable HTTP request headers

  1. Option A
  2. Option B
  3. Option C
  4. Option D

Answer(s): B

Explanation:

Correct answer is "The web store backend generates a new correlation ID value at the start of checkout and sets it on the X¬CORRELATION-ID HTTP request header in each API invocation belonging to that checkout No special code or configuration is included in the Experience API and Process API implementations to generate and manage the correlation ID" : By design, Correlation Ids cannot be changed within a flow in Mule 4 applications and can be set only at source. This ID is part of the Event Context and is generated as soon as the message is received by the application.
When a HTTP Request is received, the request is inspected for "X-Correlation-Id" header. If "X-Correlation-Id" header is present, HTTP connector uses this as the Correlation Id. If "X-Correlation-Id" header is NOT present, a Correlation Id is randomly generated. For Incoming HTTP Requests: In order to set a custom Correlation Id, the client invoking the HTTP request must set "X-Correlation-Id" header. This will ensure that the Mule Flow uses this Correlation Id. For Outgoing HTTP Requests: You can also propagate the existing Correlation Id to downstream APIs. By default, all outgoing HTTP Requests send "X-Correlation-Id" header. However, you can choose to set a different value to "X-Correlation- Id" header or set "Send Correlation Id" to NEVER.
Mulesoft


Reference:

https://help.mulesoft.com/s/article/How-to-Set-Custom-Correlation-Id-for- Flows-with-HTTP-Endpoint-in-Mule-4



What operation can be performed through a JMX agent enabled in a Mule application?

  1. View object store entries
  2. Replay an unsuccessful message
  3. Set a particular tog4J2 log level to TRACE
  4. Deploy a Mule application

Answer(s): A

Explanation:

JMX Management Java Management Extensions (JMX) is a simple and standard way to manage applications, devices, services, and other resources. JMX is dynamic, so you can use it to monitor and manage resources as they are created, installed, and implemented. You can also use JMX to monitor and manage the Java Virtual Machine (JVM). Each resource is instrumented by one or more Managed Beans, or MBeans. All MBeans are registered in an MBean Server. The JMX server agent consists of an MBean Server and a set of services for handling Mbeans. There are several agents provided with

Mule for JMX support. The easiest way to configure JMX is to use the default JMX support agent. Log4J Agent The log4j agent exposes the configuration of the Log4J instance used by Mule for JMX management. You enable the Log4J agent using the <jmx-log4j> element. It does not take any additional properties MuleSoft


Reference:

https://docs.mulesoft.com/mule-runtime/3.9/jmx- management



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