Free Access MuleSoft.MCIA-Level-1.v2023-01-12.q48 Practice Test (Page 10)

Question 41

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

Question 42

An organization uses one specific CloudHub (AWS) region for all CloudHub deployments. How are CloudHub workers assigned to availability zones (AZs) when the organization's Mule applications are deployed to CloudHub in that region?

A.Workers belonging to a given environment are assigned to the same AZ within that region.

B.AZs are selected as part of the Mule application's deployment configuration.

C.Workers are randomly distributed across available AZs within that region.

D.An AZ is randomly selected for a Mule application, and all the Mule application's CloudHub workers are assigned to that one AZ

Question 43

An integration Mute application is being designed to process orders by submitting them to a backend system for offline processing. Each order will be received by the Mute application through an HTTPS POST and must be acknowledged immediately. Once acknowledged, the order will be submitted to a backend system. Orders that cannot be successfully submitted due to rejections from the backend system will need to be processed manually (outside the backend system).
The Mule application will be deployed to a customer-hosted runtime and is able to use an existing ActiveMQ broker if needed.
The backend system has a track record of unreliability both due to 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 backend system, while minimizing manual order processing?

A.An On Error scope Non-persistent VM ActiveMQ Dead Letter Queue for manual processing

B.An On Error scope MuleSoft Object Store ActiveMQ Dead Letter Queue for manual processing

C.Until Successful component MuleSoft Object Store ActiveMQ is NOT needed or used

D.Until Successful component ActiveMQ long retry Queue ActiveMQ Dead Letter Queue for manual processing

Correct Answer: D

Correct answer is using below set of activities Until Successful component ActiveMQ long retry Queue ActiveMQ Dead Letter Queue for manual processing We will see why this is correct answer but before that lets understand few of the concepts which we need to know. Until Successful Scope The Until Successful scope processes messages through its processors until the entire operation succeeds. Until Successful repeatedly retries to process a message that is attempting to complete an activity such as: - Dispatching to outbound endpoints, for example, when calling a remote web service that may have availability issues. - Executing a component method, for example, when executing on a Spring bean that may depend on unreliable resources. - A sub-flow execution, to keep re-executing several actions until they all succeed, - Any other message processor execution, to allow more complex scenarios. How this will help requirement : Using Until Successful Scope we can retry sending the order to backend systems in case of error to avoid manual processing later. Retry values can be configured in Until Successful Scope Apache ActiveMQ It is an open source message broker written in Java together with a full Java Message Service client ActiveMQ has the ability to deliver messages with delays thanks to its scheduler. This functionality is the base for the broker redelivery plug-in. The redelivery plug-in can intercept dead letter processing and reschedule the failing messages for redelivery. Rather than being delivered to a DLQ, a failing message is scheduled to go to the tail of the original queue and redelivered to a message consumer. How this will help requirement : If backend application is down for a longer duration where Until Successful Scope wont work, then we can make use of ActiveMQ long retry Queue. The redelivery plug-in can intercept dead letter processing and reschedule the failing messages for redelivery. Mule Reference: https://docs.mulesoft.com/mule-runtime/4.3/migration-core-until-successful

Question 44

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

Question 45

To implement predictive maintenance on its machinery equipment, ACME Tractors has installed thousands of IoT sensors that will send data for each machinery asset as sequences of JMS messages, in near real-time, to a JMS queue named SENSOR_DATA on a JMS server. The Mule application contains a JMS Listener operation configured to receive incoming messages from the JMS servers SENSOR_DATA JMS queue. The Mule application persists each received JMS message, then sends a transformed version of the corresponding Mule event to the machinery equipment back-end systems.
The Mule application will be deployed to a multi-node, customer-hosted Mule runtime cluster. Under normal conditions, each JMS message should be processed exactly once.
How should the JMS Listener be configured to maximize performance and concurrent message processing of the JMS queue?

A.Set numberOfConsumers to a value greater than one
Set primaryNodeOnly = false

B.Set numberOfConsumers = 1
Set primaryNodeOnly = false

C.Set numberOfConsumers = 1
Set primaryNodeOnly = true

D.Set numberOfConsumers to a value greater than one
Set primaryNodeOnly = true

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Question 41

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