Assess the CertsIQ’s updated Mule-Arch-202 exam questions for free online practice of your Salesforce Certified MuleSoft Platform Integration Architect test. Our MuleSoft-Integration-Architect-I Mule Arch 202 dumps questions will enhance your chances of passing the Salesforce Certified Architect certification exam with higher marks.
The ABC company has an Anypoint Runtime Fabric on VMs/Bare Metal (RTF-VM) appliance installed on its own customer-hosted AWS infrastructure. Mule applications are deployed to this RTF-VM appliance. As part of the company standards, the Mule application logs must be forwarded to an external log management tool (LMT). Given the company's current setup and requirements, what is the most idiomatic (used for its intended purpose) way to send Mule application logs to the external LMT?
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?
A company is planning to migrate its deployment environment from on-premises cluster to a Runtime Fabric (RTF) cluster. It also has a requirement to enable Mule applications deployed to a Mule runtime instance to store and share data across application replicas and restarts. How can these requirements be met?
Refer to the exhibit.
A shopping cart checkout process consists of a web store backend sending a sequence of API invocations to an
Experience API, which in turn invokes a Process API. All API invocations are over HTTPS POST. The Java
web store backend executes in a Java EE application server, while all API implementations are Mule
applications executing in a customer -hosted Mule runtime.
End-to-end correlation of all HTTP requests and responses belonging to each individual checkout Instance is
required. This is to be done through a common correlation ID, so that all log entries written by the web store
backend, Experience API implementation, and Process API implementation include the same correlation ID
for all requests and responses belonging to the same checkout instance.
What is the most efficient way (using the least amount of custom coding or configuration) for the web store
backend and the implementations of the Experience API and Process API to participate in end-to-end
correlation of the API invocations for each checkout instance?
A Mule application uses the Database connector. What condition can the Mule application automatically adjust to or recover from without needing to restart or redeploy the Mule application?
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