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To implement a readiness endpoint to monitor all system APIs, the developer should create a dedicated endpoint that responds with the API status and reachability of the underlying systems. This way, the DevOps team can check if the system API is ready to receive requests and if it can communicate with its backend systems without errors. References:https://docs.mulesoft.com/mule-runtime/4.3/deployment-strategies#readiness-probes

To configure API Functional Monitoring to monitor the health of 10 public APIs periodically while minimizing operational overhead and cost, the developer should use one public locationwith all 10 APIs in a single schedule. A public location is a worker that runs in a CloudHub shared environment, which is cheaper and easier to maintain than a private location. A single schedule allows running all 10 APIs tests at the same time and frequency, which reduces complexity and resource consumption. References:https://docs.mulesoft.com/functional-monitoring/fm-create-monitor#create-a-monitor

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 HTTPListener 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 thatindicatesthe status of the API, such as OK or ERROR. References:https://docs.mulesoft.com/api-functional-monitoring/afm-create-monitor#create-a-monitor

To include a common application as a reusable module in all API implementations, the developer should add a Maven dependency in the POM file with jar as . This way, the developer can reuse Mule code from another application by packaging it as a JAR file and adding it as a dependency in the POM file of the API implementation. The classifier element specifies that it is a JAR file. References:https://docs.mulesoft.com/mule-runtime/4.3/mmp-concept#add-a-maven-dependency-to-the-pom-file

To encrypt the data before sending it to the backend application using PGP encryption, the application needs the public key from the backend service. PGP encryption uses a public-key cryptography system, which means that each party has a pair of keys: a public key and a private key. The public key is used to encrypt data, and the private key is used to decrypt data. Therefore, toencrypt data for a specific recipient (the backend service), the application needs to use the recipient’s public key. The recipient can then use its own private key to decrypt the data. References:https://docs.mulesoft.com/mule-runtime/4.3/cryptography-pgp

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 not 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 implementationwith 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 local 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

When working with correlation IDs, the HTTP Listener generates correlation IDs unless a correlation ID is received in the HTTP request. In that case, it propagates the received correlation ID throughout the flow execution. Correlation IDs are used to track events across different flows or applications. References:https://docs.mulesoft.com/mule-runtime/4.3/about-mule-message#message-attributes