QUESTION: 145

How does timeout attribute help inform design decisions while using JMS connector listening for incoming messages in an extended architecture (XA) transaction?

After the timeout is exceeded, stale JMS consumer threads are destroyed and new threads are created
The timeout specifies the time allowed to pass between receiving JMS messages on the same JMS connection and then after the timeout new JMS connection is established
The time allowed to pass between committing the transaction and the completion of the mule flow and then after the timeout flow processing triggers an error
The timeout defines the time that is allowed to pass without the transaction ending explicitly and after the timeout expires, the transaction rolls back

Answer(s): D

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An auto mobile company want to share inventory updates with dealers Dl and D2 asynchronously and concurrently via queues
Q1 and Q2 Dealer Dl must consume the message from the queue Q1 and dealer D2 to must consume a message from the queue Q2. Dealer D1 has implemented a retry mechanism to reprocess the transaction in case of any errors while processing the inventers updates. Dealer D2 has not implemented any retry mechanism. How should the dealers acknowledge the message to avoid message loss and minimize impact on the current implementation?

Dealer D1 must use auto acknowledgement and dealer D2 can use manual acknowledgement and acknowledge the message after successful processing
Dealer D1 can use auto acknowledgement and dealer D2 can use IMMEDIATE acknowledgement and acknowledge the message of successful processing
Dealer D1 and dealer D2 must use AUTO acknowledgement and acknowledge the message after successful processing
Dealer D1 can use AUTO acknowledgement and dealer D2 must use manual acknowledgement and acknowledge the message after successful processing

Answer(s): D

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QUESTION: 147

A company is using Mulesoft to develop API's and deploy them to Cloudhub and on premises targets. Recently it has decided to enable Runtime Fabric deployment option as well and infrastructure is set up for this option.
What can be used to deploy Runtime Fabric?

AnypointCLI
Anypoint platform REST API's
Directly uploading ajar file from the Runtime manager
Mule maven plug-in

Answer(s): D

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QUESTION: 148

As an enterprise architect, what are the two reasons for which you would use a canonical data model in the new integration project using Mulesoft Anypoint platform ( choose two answers )

To have consistent data structure aligned in processes
To isolate areas within a bounded context
To incorporate industry standard data formats
There are multiple canonical definitions of each data type
Because the model isolates the back and systems and support mule applications from change

Answer(s): A,B

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Free MuleSoft-Integration-Architect-I Exam Braindumps (page: 37)

QUESTION: 145

QUESTION: 146

QUESTION: 147

QUESTION: 148