Question 1

What is not true about Mule Domain Project?

Options :

A : This allows Mule applications to share resources

B : Expose multiple services within the Mule domain on the same port

C : Only available Anypoint Runtime Fabric

D : Send events (messages) to other Mule applications using VM queues

Answer: C

Question 2

What limits if a particular Anypoint Platform user can discover an asset in Anypoint Exchange?

Options :

A : Design Center and RAML were both used to create the asset

B : The existence of a public Anypoint Exchange portal to which the asset has been published

C : The type of the asset in Anypoint Exchange

D : The business groups to which the user belongs

Answer: D

Question 3

A manufacturing company plans to deploy Mule applications to its own Azure Kubernetes service infrastructure.The organization wants to make the Mule applications more available and robust by deploying each Mule application to an isolated Mule runtime in a Docker container while managing all the Mule applications from the MuleSoft-hosted control plane. What choice of runtime plane meets these organizational requirements?

Options :

A : CloudHub 2.0

B : Customer-hosted self-provisioned runtime plane

C : Anypoint Service Mesh

D : Anypoint Runtime Fabric

Answer: D

Question 4

An external web UI application currently accepts occasional HTTP requests from client web browsers to change (insert, update, or delete) inventory pricing information in an inventory system's database. Each inventory pricing change must be transformed and then synchronized with multiple customer experience systems in near real-time (in under 10 seconds). New customer experience systems are expected to be added in the future. The database is used heavily and limits the number of SELECT queries that can be made to the database to 10 requests per hour per user. What is the most scalable, idiomatic (used for its intended purpose), decoupled. reusable, and maintainable integration mechanism available to synchronize each inventory pricing change with the various customer experience systems in near real-time?

Options :

A : Write a Mule application with a Database On Table Row event source configured for the inventory pricing database, with the watermark attribute set to an appropriate database column In the same now, use a Scatter-Gather to call each customer experience system-s REST API with transformed inventory-pricing records

B : Add a trigger to the inventory-pricing database table so that for each change to the inventory pricing database, a stored procedure is called that makes a REST call to a Mule application Write the Mule application to publish each Mule event as a message to an Anypoint MQ exchange Write other Mule applications to subscribe to the Anypoint MQ exchange, transform each received message, and then update the Mule application-s corresponding customer experience system(s)

C : Replace the external web UI application with a Mule application to accept HTTP requests from client web browsers In the same Mule application, use a Batch Job scope to test if the database request will succeed, aggregate pricing changes within a short time window, and then update both the inventory pricing database and each customer experience system using a Parallel For Each scope

D : Write a Mule application with a Database On Table Row event source configured for the inventory pricing database, with the ID attribute set to an appropriate database column In the same flow, use a Batch Job scope to publish transformed Inventory-pricing records to an Anypoint MQ queue Write other Mule applications to subscribe to the Anypoint MQ queue, transform each received message, and then update the Mule application-s corresponding customer experience system(s)

Answer: B

Question 5

A Mule application is being designed To receive nightly a CSV file containing millions of records from an external vendor over SFTP, The records from the file need to be validated, transformed. And then written to a database. Records can be inserted into the database in any order. In this use case, what combination of Mule components provides the most effective and performant way to write these records to the database?

Options :

A : Use a Parallel for Each scope to Insert records one by one into the database

B : Use a Scatter-Gather to bulk insert records into the database

C : Use a Batch job scope to bulk insert records into the database.

D : Use a DataWeave map operation and an Async scope to insert records one by one into the database.

Answer: C

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