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- Exam Name: Salesforce Certified MuleSoft Developer II
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A healthcare portal needs to validate the token that it sends to a Mule API. The developer plans to implement a custom policy using the HTTP Policy Transform Extension to match the token received in the header from the healthcare portal.
Which files does the developer need to create in order to package the custom policy?
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A
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Explanation
For the Mule 4 custom-policy development model represented by this question, the policy's runtime behavior is implemented in an XML template, while the policy's configurable parameters and metadata are described in a YAML configuration file. The XML template uses Mule's XML configuration language and policy-specific elements such as http-policy:proxy, http-policy:source, http-policy:operation, and http-policy:execute-next. In this scenario, the developer can place the header-token inspection and validation behavior in this implementation layer. The accompanying YAML file exposes configurable policy parameters to API Manager and provides the metadata needed for policy configuration. MuleSoft's custom-policy development reference identifies an XML template and YAML file as core policy project artifacts; the complete project additionally contains its POM, Mule artifact descriptor, and any optional resources. A ZIP file is not the source artifact pair used to define the policy. Similarly, a generic JSON properties file is not a replacement for the implementation template in this Mule 4 custom-policy model. Thus, among the available combinations, the XML policy template together with the YAML configuration file is the required pair. Reference topics: Mule Gateway custom policies; XML policy templates; YAML policy configuration; HTTP Policy Transform Extension. Official documentation: https://docs.mulesoft.com/mule-gateway/policies-custom-mule-4-reference =============================================================== |
An API has been developed and deployed to CloudHub. Among the policies applied to this API is an allowlist of IP addresses. A developer wants to run a test in Anypoint Studio and does not want any policies applied because their workstation is not included in the allowlist.
What must the developer do in order to run this test locally without the policies applied?
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D
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Explanation
API Autodiscovery is what pairs a Mule application with a particular API Manager instance. The apiId in the Autodiscovery configuration identifies the managed API from which the runtime obtains API configuration and policies. Therefore, using an environment-specific configuration for local development prevents the locally running application from binding to the production API instance and consequently prevents those production policies from governing local test traffic. This is different from setting anypoint.platform.gatekeeper=disabled. Gatekeeper controls whether a managed API is blocked while policy information is unavailable or being synchronized; disabling Gatekeeper is not equivalent to disabling API Manager policies. Policies can still be downloaded and applied when the application remains paired through Autodiscovery. Running the application unchanged is also incorrect because a locally executed Mule runtime can connect to API Manager when Autodiscovery and platform credentials are configured. MuleSoft explicitly documents local Autodiscovery for policy testing. Deactivating the shared API is likewise inappropriate because it modifies centrally managed configuration rather than isolating the developer's local environment. Reference topics: API Autodiscovery; API Instance ID; Environment-specific Configuration; Mule Gateway Gatekeeper. Official documentation: https://docs.mulesoft.com/mule-gateway/mule-gateway-autodiscovery-overview =============================================================== |
A company with MuleSoft Titanium support develops a Salesforce System API using MuleSoft's 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?
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A
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Explanation
Anypoint Monitoring provides connector-level performance metrics without requiring additional application logging or custom instrumentation. For supported connectors, these statistics are accessible from the application's monitoring interface through the Connectors tab. MuleSoft's documentation specifies that connector monitoring includes Requests, which reports the average number of connector requests over automatically selected intervals, and Response Time, which reports the average response time for connector requests. To access these metrics, the documented procedure is to open Anypoint Monitoring, select the relevant Mule application resource, and open the Connectors view. Because these metrics are generated by the monitoring platform, examining raw logs is unnecessary. A custom dashboard may be useful when creating specialized operational visualizations, but it is not required simply to obtain standard connector request and response-time measurements. Modifying the Salesforce System API to manually log this information would also duplicate functionality already supplied by Anypoint Monitoring and increase application complexity. The question additionally identifies Titanium support, which aligns with availability of connector monitoring capabilities described by MuleSoft. Therefore, the correct procedure is to use the built-in Anypoint Monitoring dashboard and inspect the Connectors tab. Reference topics: Anypoint Monitoring; connector performance metrics; built-in dashboards; request count; response time; Salesforce Connector. Official documentation: https://docs.mulesoft.com/monitoring/monitor-connectors =============================================================== |
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