Salesforce MuleSoft-Integration-Architect-I Online Access

Explanation

* Option B shouldn't be used unless extremely needed, if RAML is changed, client needs to accommodate changes. Question is about minimizing impact on Client. So this is not a valid choice.

* Option C isn't valid as Business can't stop for consumers acknowledgment.

* Option D again needs Client to accommodate changes and isn't viable option.

* Best choice is A where RAML definition isn't changed and underlined functionality is changed without any dependency on client and without impacting client.

In a clustered Mule runtime environment, when using a JMS listener to consume messages from a queue destination, it is essential to ensure that messages are appropriately received by all nodes in the cluster. The configuration must support high availability and scalability. Here's why option B is correct:

• primaryNodeOnly="false": Setting this parameter to "false" ensures that the JMS listener is active on all nodes in the cluster, not just the primary node. This setting allows multiple instances of the JMS listener to run concurrently across different nodes, enabling them to consume messages from the JMS queue.
• Shared Subscription: Using a shared subscription means that all nodes will share the consumption of messages from the queue. This approach prevents duplicate message processing, as each message is delivered to only one listener instance within the cluster. This configuration ensures that message processing is balanced across the nodes, improving throughput and reliability.

To configure the JMS listener in Mule, the XML configuration might look something like this:

xml

This setup ensures that all nodes in the cluster are involved in message processing, leveraging the high availability and load balancing capabilities of the cluster.

References

• MuleSoft Documentation on JMS Listener
• MuleSoft Clustering Guide

Explanation

Correct answer is Untill Successful scope can be implemented while calling backend API's The Until Successful scope repeatedly triggers the scope's components (including flow references) until they all succeed or until a maximum number of retries is exceeded The scope provides option to control the max number of retries and the interval between retries The scope can execute any sequence of processors that may fail for whatever reason and may succeed upon retry