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A Mule application includes a subflow containing a Scatter.Gather scope. Within each log of the Scatter.Gatter. an HTTP connector calls a PUT endpoint to modify records in different upstream system. The subflow is called inside an Unit successful scope to retry if a transitory exception is raised.
A technical spike is being performed to increase reliability of the Mule application.
Which steps should be performed within the Mule flow above the ensure idempontent behavior?
To ensure idempotent behavior within a Mule flow that contains a subflow with a Scatter-Gather scope, the developer should ensure an error-handling flow performs corrective actions to roll back all changes if any leg of the Scatter-Gather fails. Idempotency means that multiple identical requests have the same effect as a single request. Therefore, if one of the HTTP requests inside the Scatter-Gather fails, the error-handling flow should undo any changes made by other successful requests to ensure consistency and avoid partial updates. Reference: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept https://docs.mulesoft.com/mule-runtime/4.3/error-handling
Two APIs are deployed to a two-node on-prem cluster. Due to a requirements change, the two APIs must communicate to exchange data asynchronously.
To communicate asynchronously between two APIs deployed to a two-node on-prem cluster, the developer can use the VM Connector if the two APIs use the same domain. The VM Connector allows passing messages between different Mule applications within a single Mule runtime instance or across different instances using shared memory or persistent storage. If two APIs are deployed under the same domain, they can share resources such as VM queues and communicate asynchronously using VM Connector operations. Reference: https://docs.mulesoft.com/mule-runtime/4.3/vm-connector https://docs.mulesoft.com/mule-runtime/4.3/shared-resources
An API has been built to enable scheduling email provider. The front-end system does very little data entry validation, and problems have started to appear in the email that go to patients. A validate-customer'' flow is added validate the data.
What is he expected behavior of the 'validate-customer'' flow?
The validate-customer flow uses an until-successful scope to validate each field of the customer data. The until-successful scope executes its processors until they succeed or exhausts the maximum number of retries. If any processor fails, it raises an error and stops executing the remaining processors. Therefore, if only the email address is invalid, a VALIDATION.INVALID_EMAIL error is raised and the validation of appointment date and customer name is skipped. Reference: https://docs.mulesoft.com/mule-runtime/4.3/until-successful-scope
A company with MuleSoft Titanium develops a Salesforce System API using MuleSoft out-of-the-box Salesforce Connector and deploys the API to CloudHub.
Which steps provide the average number of requests and average response time of the Salesforce Connector?
To get the average number of requests and average response time of the Salesforce Connector, the developer should access Anypoint Monitoring's built-in dashboard, select a resource (such as an application or an API), and locate the information under the Connectors tab. The Connectors tab shows metrics for each connector used by the resource, such as average requests per minute, average response time, and failures. Reference: https://docs.mulesoft.com/monitoring/built-in-dashboard-reference
Refer to the exhibit.
What is the result of the Mule Maven Plugin configuration of the value of property its,keystorePassoword in CloudHub 2.0?
The result of the Mule Maven Plugin configuration of the value of property its,keystorePassword in CloudHub 2.0 is that Runtime Manager masks the value. This means that Runtime Manager hides or obscures the value from anyone who views it in Runtime Manager or Anypoint Platform. Reference: https://docs.mulesoft.com/runtime-manager/runtime-manager-agent-for-mule4#properties-tab
