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

• A.Reduce latency
• B.Ensure consistency
• C.Simplifies communincation
• D.Increase throughput

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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.Disable CloudHub logging in Runtime Manager
  Define the Splunk appender in ONE global log4j2.xml file that is uploaded once to Runtime Manager to support all Mule application deployments
• B.Keep the default logging configuration in Runtime Manager
  Define the Splunk appender in ONE global log4j2.xml file that is uploaded once to Runtime Manager to support all Mule application deployments
• C.Disable CloudHub logging in Runtime Manager
  Define the Splunk appender in EACH Mule application's log4j2.xml file
• D.Keep the default logging configuration in Runtime Manager
  Define the Splunk appender in EACH Mule application's log4j2.xml file

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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?

• A.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
• B.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
• C.Use a composite data source so files can be retrieved from various sources and delivered to a MuleSoft Batch Job for processing
• D.Use a MuleSoft Scatter-Gather and a MuleSoft Batch Job to handle the different files coming from different sources

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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 ACCEPTED by the external API
• B.The request was not accepted by the external API
• C.The request was Redirected to a different URL by the external API
• D.The request was NOT RECEIVED by the external API

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Refer to the exhibit.

A Mule 4 application has a parent flow that breaks up a JSON array payload into 200 separate items, then sends each item one at a time inside an Async scope to a VM queue.
A second flow to process orders has a VM Listener on the same VM queue. The rest of this flow processes each received item by writing the item to a database.
This Mule application is deployed to four CloudHub workers with persistent queues enabled.
What message processing guarantees are provided by the VM queue and the CloudHub workers, and how are VM messages routed among the CloudHub workers for each invocation of the parent flow under normal operating conditions where all the CloudHub workers remain online?

• A.ALL item VM messages are processed AT MOST ONCE by ONE ARBITRARY CloudHub worker This one CloudHub worker processes ALL 200 item VM messages
• B.ALL Item VM messages are processed AT LEAST ONCE by the SAME CloudHub worker where the parent flow was invoked This one CloudHub worker processes ALL 200 item VM messages
• C.EACH item VM message is processed AT MOST ONCE by ONE CloudHub worker, with workers chosen in a deterministic round-robin fashion Each of the four CloudHub workers can be expected to process 1/4 of the Item VM messages (about 50 items)
• D.EACH item VM message is processed AT LEAST ONCE by ONE ARBITRARY CloudHub worker Each of the four CloudHub workers can be expected to process some item VM messages

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