Question 1

What Anypoint Connectors support transactions?

Options :

A : Database, JMS, VM

B : Database, 3MS, HTTP

C : Database, JMS, VM, SFTP

D : Database, VM, File

Answer: A

Question 2

As a part of project requirement, client will send a stream of data to mule application. Payload size can vary between 10mb to 5GB. Mule application is required to transform the data and send across multiple sftp servers. Due to the cost cuttings in the organization, mule application can only be allocated one worker with size of 0.2 vCore. As an integration architect , which streaming strategy you would suggest to handle this scenario?

Options :

A : In-memory non repeatable stream

B : File based non-repeatable stream

C : In-memory repeatable stream

D : File based repeatable storage

Answer: D

Question 3

An organization has chosen Mulesoft for their integration and API platform. According to the Mulesoft catalyst framework, what would an integration architect do to create achievement goals as part of their business outcomes?

Options :

A : Measure the impact of the centre for enablement

B : build and publish foundational assets

C : agree upon KPI-s and help develop and overall success plan

D : evangelize API's

Answer: C

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

An organization plans to extend its Mule APIs to the EU (Frankfurt) region. Currently, all Mule applications are deployed to CloudHub 1.0 in the default North American region, from the North America control plane, following this naming convention: {API-name}—{environment} (for example, Orderssapi—dev, Orders-sapi-—qa, Orders-sapi-—prod, etc.). There is no network restriction to block communications between APIs. What strategy should be implemented in order to deploy the same Mule APIs to the CloudHub 1.0 EU region from the North America control plane, as well as to minimize latency between APIs and target users and systems in Europe?

Options :

A :

In Runtime Manager, for each Mule application deployment, set the Region property to EU (Frankfurt) and reuse the same Mule application mame as in the North American region. Communicate the new urls {API-name}—{environment}.de-ci.cloudhub.io to the consuming API clients In Europe.

B :

In API Manager, set the Region property to EU (Frankfurt) to create an API proxy named {API-name}—proxy—{environment} for each Mule application. Communicate the new url {API-name}—proxy—{environment}.de-c1.cloudhub.io to the consuming API clients In Europe.

C :

In Runtime Manager, for each Mule application deployment, leave the Region property blank (default) and change the Mule application name to {API-name}— {environment).de-cl. Communicate the new urls {API-name}—{environment}.de-ci1.cloudhub.io to the consuming API clients in Europe

D :

In API Manager, leave the Region property blank (default) to deploy an API proxy named {API-name}~proxy~- (environment}.de-cl for each Mule application. Communicate the new url {API-name}—proxy—{environment}.de-cl.cloudhub.io to the consuming API clients in Europe.

Answer: A

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