Salesforce-MuleSoft-Developer-II Salesforce Certified MuleSoft Developer 2 (SU24) Questions and Answers

To remove values from Mule application A’s Object Store v2, Mule application B can use Object Store v2 REST API. This API allows performing operations on Object Store v2 resources using HTTP methods, such as GET, POST, PUT, and DELETE. Mule application B can use the DELETE method to remove values from Mule application A’s Object Store v2 by specifying the object store ID and the key of the value to delete. References: https://docs.mulesoft.com/object-store/osv2-apis

To unit test modules created with XML SDK, the developer needs to use the MUnit Extensions Maven plugin. This plugin allows testing XML SDK modules using MUnit by adding a dependency to the module under test and using a custom processor tag to invo ke it. References: https://docs.mulesoft.com/mule-sdk/1.1/xml-sdk#testing

To test that the payment API is working in production, the developer should create a health check endpoint that listens on a separate port and uses a separate HTTP Listener configuration from the API. This way, the developer can isolate the health check endpoint from the API traffic and avoid affecting the performance or availability of the API. The health check endpoint should return a simple response that indicates the status of the API, such as OK or ERROR. References: https://docs.mulesoft.com/api-functional-monitoring/afm-create-monitor#create-a-monitor

To ensure idempoten t 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 multip le 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 partia l updates. References: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept https://docs.mulesoft.com/mule-runtime/4.3/error-handling

To run a test locally without the policies applied, the developer should create a properties file specifically for local development and set the API instance ID to a value that is n ot used in API Manager. This way, the developer can use different configuration properties for different environments and avoid triggering API autodiscovery when running tests locally. API autodiscovery is a mechanism that associates an API implementation with its corresponding API specification and policies in API Manager based on its API instance ID. By setting this ID to a value that does not exist in API Manager, the developer can prevent API autodiscovery from finding and applying any policies to the l ocal test. References: https://docs.mulesoft.com/api-manager/2.x/api-auto-discovery-new-concept#configuring-api-autodiscovery https://docs.mulesoft.com/mule-runtime/4.3/configuring-properties

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. References: https://docs.mulesoft.com/runtime-manager/runtime-manager-agent-for-mule4#properties-tab

secure :: tiskeystore , keyPassowrd ∗ ∗ ShortExplanationofCo rrectAnswerOnly : Toreferenceasecurepropertyvaluewithintheapplication , thedeveloperneedstousethesyntax {secure::}. In this case, the property name is tiskeystore,keyPassword, so the correct syntax is ${secure::tiskeystore,keyPassowrd}. References: https://docs .mulesoft.com/mule-runtime/4.3/secure-configuration-properties#referencing-secure-properties

To enable mTLS authentication for HTTP Listener, the developer needs to set an appropriate keystore and truststore configuration for the listener. The keystore contains the certificate and private key of the Mule application that are used to prove its identity to clients. The truststore contains the certificates of trusted clients that are allowed to access the Mule application. References: https://docs.mulesoft.com/mule-runtime/4.3/tls-configuration#mutual-authentication

To invoke multiple HTTP APIs in parallel and roll back failed requests in sequence, the developer should use a Scatter-Gather router as a central Saga orchestrator fo r all API requests with compensating actions for failing routes. A Scatter-Gather router executes multiple routes concurrently and aggregates the results. A Saga orchestrator coordinates a series of actions across different services and handles failures by executing compensating actions. Therefore, using a Scatter-Gather router as a Saga orchestrator allows invoking multiple HTTP APIs in parallel and rolling back any failed requests in sequence. References: https://docs.mulesoft.com/mule-runtime/4.3/scatter -gather-concept https://docs.mulesoft.com/mule-runtime/4.3/saga

To give a partial successful response in case the United Airlines API returns with a timeout, the developer should add a Scatter-Gather component inside a Try scope, and set the payload to a default value ‘Error’ inside the error handler using the On Error Continue scope. A Scatter-Gather component allows sending multiple requests concurrently and aggregating the responses into an array. A Try scope allows handling errors that occur within it using an error handler. An On Error Continue scope allows continuing the flow execution after handling an error. Therefore, by using these components, the developer can send requests to both APIs in parallel, handle any timeout errors from United Airlines API, and return a partial response with a default value for that API. References: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept https://docs.mulesoft.com/mule-runtime/4.3/try-scope-concept https://docs.mulesoft.com/mule-runtime/4.3/on-error-continue-concept

To configure a common-global-handler flow that can be reused across all of the organization’s deployed applications, the developer should create a Mule Plugin project, create a common-global-error-handler flow inside the plugin project, and use this plugin as a depend ency in all Mule applications. This way, the developer can import the common-global-error-handler flow in any application that needs it and avoid duplicating the error handling logic. References: https://docs.mulesoft.com/mule-runtime/4.3/error-handling#global-error-handler

To propagate the order ID as the correlation ID across each message using Anypoint MQ, the developer should wrap all Anypoint MQ Publish operations within a With CorrelationID scope from the Tracing mo dule, setting the correlation ID to the order ID. The With CorrelationID scope allows setting a custom correlation ID for any event that occurs within it. The Tracing module also enables distributed tracing across different Mule applications and services u sing Anypoint Monitoring. References: https://docs.mulesoft.com/tracing-module/1.0/tracing-module-reference#with-correlation-id-scope https://docs.mulesoft.com/tracing-module/1.0/tracing-module-concepts

The http-policy:processor element is used to intercept outbound HTTP requests made by Mule applications. It allows customizing the request before it is sent to the target API and modifying the response after it is received from the target API. Ref erences: https://docs.mulesoft.com/api-manager/2.x/policy-mule4-custom-policy#policy-xml-file

Based on the code snippet and schema.json file below, when testing using the API Kit console if no values are entered in client-secret, HTTP status code 403 (FORBIDDEN) is returned. This is because client-secret is defined as a required header parameter in schema.json file, which means that it must be present in every request. If no values are entered in client-secret, then it is equivalent to omitting this header parameter, which violates the schema and causes APIKit Router to return HTTP status code 40 3. References: https://docs.mulesoft.com/apikit/4.x/apikit-4-headers

Based on the configuration below, when a HTTP request arrives at the Mule application’s endpoint, the execution order will be A1, B1, F1, B2, A2. This is because policies are executed before and after the API implementation flow according to their order a ttribute. Policy A has order 1, which means it is executed first before Policy B, which has order 2. The flow is executed after both policies are executed before the flow. Then, Policy B is executed after the flow before Policy A is executed after the flow . References: https://docs.mulesoft.com/api-manager/2.x/policies-policy-order