Refer to the exhibit.

This Mule application is deployed to multiple Cloudhub workers with persistent queue enabled. The retrievefile flow event source reads a CSV file from a remote SFTP server and then publishes each record in the CSV file to a VM queue. The processCustomerRecords flow's VM Listner receives messages from the same VM queue and then processes each message separately.
How are messages routed to the cloudhub workers as messages are received by the VM Listener?

• A.Each messages routes to ONE of the available Clouhub workers in a NON- DETERMINSTIC non round-robin fashion thereby APPROXIMATELY BALANCING messages among the cloudhub workers
• B.Each message is routed to ONE of the Cloudhub workers in a DETERMINSTIC round robin fashion thereby EXACTLY BALANCING messages among the cloudhub workers
• C.Each message is duplicated to ALL of the Cloudhub workers, thereby SHARING EACH message with ALL the Cloudhub workers.
• D.Each message is routed to the SAME Cloudhub worker that retrieved the file, thereby BINDING ALL messages to ONLY that ONE Cloudhub worker

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Anypoint Exchange is required to maintain the source code of some of the assets committed to it, such as Connectors, Templates, and API specifications.
What is the best way to use an organization's source-code management (SCM) system in this context?

• A.Organizations should continue to use an SCM system of their choice, in addition to keeping source code for these asset types in Anypoint Exchange, thereby enabling parallel development, branching, and merging
• B.Organizations need to use Anypoint Exchange as the main SCM system to centralize versioning and avoid code duplication
• C.Organizations can continue to use an SCM system of their choice for branching and merging, as long as they follow the branching and merging strategy enforced by Anypoint Exchange
• D.Organizations need to point Anypoint Exchange to their SCM system so Anypoint Exchange can pull source code when requested by developers and provide it to Anypoint Studio

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An organization has various integrations implemented as Mule applications. Some of these Mule applications are deployed to customer-hosted Mule runtimes (on-premises) while others execute in the MuleSoft-hosted runtime plane (CloudHub). To perform the integration functionality, these Mule applications connect to various backend systems, with multiple applications typically needing to access the same backend systems.
How can the organization most effectively avoid creating duplicates in each Mule application of the credentials required to access the backend systems?

• A.Create a Mule domain project that maintains the credentials as Mule domain-shared resources Deploy the Mule applications to the Mule domain, so the credentials are available to the Mule applications
• B.Store the credentials in properties files in a shared folder within the organization's data center Have the Mule applications load properties files from this shared location at startup
• C.Configure or create a credentials service that returns the credentials for each backend system, and that is accessible from customer-hosted and MuleSoft-hosted Mule runtimes Have the Mule applications load the properties at startup by invoking that credentials service
• D.Segregate the credentials for each backend system into environment-specific properties files Package these properties files in each Mule application, from where they are loaded at startup

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In a Mule Application, a flow contains two (2) JMS consume operations that are used to connect to a JMS broker and consume messages from two(2) JMS destination. The Mule application then joins the two JMS messages together.
The JMS broker does not implement high availability (HA) and periodically experiences scheduled outages of upto 10 mins for routine maintenance.
What is the most idiomatic (used for its intented purpose) way to build the mule flow so it can best recover from the expected outages?

• A.Enclose the two(2) JMS operations in a Try scope with an Error Continue error handler
• B.Configure a reconnection strategy for the JMS connector
• C.Enclose the two(2) JMS operation in an Until Successful scope
• D.Consider a transaction for the JMS connector

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An organization currently uses a multi-node Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications. The organization is planning to transition to a deployment model based on Docker containers in a Kubernetes cluster. The organization has already created a standard Docker image containing a Mule runtime and all required dependencies (including a JVM), but excluding the Mule application itself.
What is an expected outcome of this transition to container-based Mule application deployments?

• A.Required redesign of Mule applications to follow microservice architecture principles
• B.Required change to the URL endpoints used by clients to send requests to the Mule applications
• C.Required migration to the Docker and Kubernetes-based Anypoint Platform - Private Cloud Edition
• D.Guaranteed consistency of execution environments across all deployments of a Mule application

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