Question 1

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 2

A system API EmployeeSAPI is used to fetch employee's data from an underlying SQL database. The architect must design a caching strategy to query the database only when there is an update to the employees stable or else return a cached response in order to minimize the number of redundant transactions being handled by the database. What must the architect do to achieve the caching objective?

Options :

A : Use an On Table Row on employees table and call invalidate cache Use an object store caching strategy and expiration interval to empty

B : Use a Scheduler with a fixed frequency every hour triggering an invalidate cache flow Use an object store caching strategy and expiration interval to empty

C : Use a Scheduler with a fixed frequency every hour triggering an invalidate cache flow Use an object store caching strategy and set expiration interval to 1-hour

D : Use an on table rule on employees table call invalidate cache and said new employees data to cache Use an object store caching strategy and set expiration interval to 1-hour

Answer: A

Question 3

A Mule application name Pub uses a persistence object store. The Pub Mule application is deployed to Cloudhub and it configured to use Object Store v2. Another Mule application name sub is being developed to retrieve values from the Pub Mule application persistence object Store and will also be deployed to cloudhub. What is the most direct way for the Sub Mule application to retrieve values from the Pub Mule application persistence object store with the least latency?

Options :

A : Use an object store connector configured to access the Pub Mule application persistence object store

B : Use a VM connector configured to directly access the persistence queue of the Pub Mule application persistence object store.

C : Use an Anypoint MQ connector configured to directly access the Pub Mule application persistence object store

D : Use the Object store v2 REST API configured to access the Pub Mule application persistence object store

Answer: D

Question 4

According to MuleSoft's IT delivery and operating model, which approach can an organization adopt in order to reduce the frequency of IT project delivery failures?

Options :

A : Decouple central IT projects from the innovation that happens within each line of business

B : Adopt an enterprise data model

C : Prevent technology sprawl by reducing production of API assets

D : Stop scope creep by centralizing requirements-gathering

Answer: A

Question 5

A retail company is implementing a MuleSoft API to get inventory details from two vendors by Invoking each vendor's online applications. Due to network issues, the invocations to the vendor applications are timing out intermittently, but the requests are successful after re-invoking each vendor application. What is the most performant way of implementing the API to invoke each vendor application and to retry invocations that generate timeout errors?

Options :

A : Use a For-Each scope to invoke the two vendor applications in series, one after the other Place the For-Each scope inside an Until-Successful scope to retry requests that raise timeout errors.

B : Use a Choice scope to Invoke each vendor application on a separate route. Place the Choice scope inside an Until-Successful scope to retry requests that raise timeout errors.

C : Use a Scatter-Gather scope to invoke each vendor application on a separate route. Use an Until-Successful scope in each route to retry requests that raise timeout errors.

D : Use a Round-Robin scope to invoke each vendor application on a separate route. Use a Try-Catch scope in each route to retry requests that raise timeout errors.

Answer: C

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