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MuleSoft Certified Integration Architect - Level 1
MCIA-LEVEL-1 Exam

Refer to the exhibit.


A Mule 4 application has a parent flow that breaks up a JSON array payload into 200 separate items, then sends each item one at a time inside an Async scope to a VM queue.
A second flow to process orders has a VM Listener on the same VM queue. The rest of this flow processes each received item by writing the item to a database.
This Mule application is deployed to four CloudHub workers with persistent queues enabled.
What message processing guarantees are provided by the VM queue and the CloudHub workers, and how are VM messages routed among the CloudHub workers for each invocation of the parent flow under normal operating conditions where all the CloudHub workers remain online?

  1. EACH item VM message is processed AT MOST ONCE by ONE CloudHub worker, with workers chosen in a deterministic round-robin fashion Each of the four CloudHub workers can be expected to process 1/4 of the Item VM messages (about 50 items)
  2. EACH item VM message is processed AT LEAST ONCE by ONE ARBITRARY CloudHub worker Each of the four CloudHub workers can be expected to process some item VM messages
  3. ALL Item VM messages are processed AT LEAST ONCE by the SAME CloudHub worker where the parent flow was invoked. This one CloudHub worker processes ALL 200 item VM messages
  4. ALL item VM messages are processed AT MOST ONCE by ONE ARBITRARY CloudHub worker This one CloudHub worker processes ALL 200 item VM messages

Answer(s): B

Explanation:

Correct answer is EACH item VM message is processed AT LEAST ONCE by ONE ARBITRARY CloudHub worker. Each of the four CloudHub workers can be expected to process some item VM messages In Cloudhub, each persistent VM queue is listened on by every CloudHub worker - But each message is read and processed at least once by only one CloudHub worker and the duplicate processing is possible - If the CloudHub worker fails , the message can be read by another worker to prevent loss of messages and this can lead to duplicate processing - By default , every CloudHub worker's VM Listener receives different messages from VM Queue


Reference:

https://dzone.com/articles/deploying-mulesoft-application-on-1-worker-vs-mult



Refer to the exhibit.

An organization uses a 2-node Mute runtime cluster to host one stateless API implementation. The API is accessed over HTTPS through a load balancer that uses round-robin for load distribution.
Two additional nodes have been added to the cluster and the load balancer has been configured to recognize the new nodes with no other change to the load balancer.
What average performance change is guaranteed to happen, assuming all cluster nodes are fully operational?

  1. 50% reduction in the response time of the API
  2. 100% increase in the throughput of the API
  3. 50% reduction In the JVM heap memory consumed by each node
  4. 50% reduction In the number of requests being received by each node

Answer(s): D



An integration Mule application is deployed to a customer-hosted multi-node Mule 4 runtime duster. The Mule application uses a Listener operation of a JMS connector to receive incoming messages from a JMS queue.
How are the messages consumed by the Mule application?

  1. Depending on the JMS provider's configuration, either all messages are consumed by ONLY the primary cluster node or else ALL messages are consumed by ALL cluster nodes
  2. Regardless of the Listener operation configuration, all messages are consumed by ALL cluster nodes
  3. Depending on the Listener operation configuration, either all messages are consumed by ONLY the primary cluster node or else EACH message is consumed by ANY ONE cluster node
  4. Regardless of the Listener operation configuration, all messages are consumed by ONLY the primary cluster node

Answer(s): C

Explanation:

Correct answer is Depending on the Listener operation configuration, either all messages are consumed by ONLY the primary cluster node or else EACH message is consumed by ANY ONE cluster node
For applications running in clusters, you have to keep in mind the concept of primary node and how the connector will behave. When running in a cluster, the JMS listener default behavior will be to receive messages only in the primary node, no matter what kind of destination you are consuming from. In case of consuming messages from a Queue, you’ll want to change this configuration to receive messages in all the nodes of the cluster, not just the primary.

This can be done with the primaryNodeOnly parameter:
<jms:listener config-ref="config" destination="${inputQueue}" primaryNodeOnly="false"/>



An Integration Mule application is being designed to synchronize customer data between two systems. One system is an IBM Mainframe and the other system is a Salesforce Marketing Cloud (CRM) instance. Both systems have been deployed in their typical configurations, and are to be invoked using the native protocols provided by Salesforce and IBM.

What interface technologies are the most straightforward and appropriate to use in this Mute application to interact with these systems, assuming that Anypoint Connectors exist that implement these interface technologies?

  1. IBM: DB access CRM: gRPC
  2. IBM: REST CRM:REST
  3. IBM: Active MQ CRM: REST
  4. IBM: CICS CRM: SOAP

Answer(s): D

Explanation:

Correct answer is IBM: CICS CRM: SOAP
* Within Anypoint Exchange, MuleSoft offers the IBM CICS connector. Anypoint Connector for IBM CICS Transaction Gateway (IBM CTG Connector) provides integration with back-end CICS apps using the CICS Transaction Gateway.
* Anypoint Connector for Salesforce Marketing Cloud (Marketing Cloud Connector) enables you to connect to the Marketing Cloud API web services (now known as the Marketing Cloud API), which is also known as the Salesforce Marketing Cloud. This connector exposes convenient operations via SOAP for exploiting the capabilities of Salesforce Marketing Cloud.




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