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A leading bank implementing new mule API. The purpose of API to fetch the customer account balances from the backend application and display them on the online platform the online banking platform. The online banking platform will send an array of accounts to Mule API get the account balances. As a part of the processing the Mule API needs to insert the data into the database for auditing purposes and this process should not have any performance related implications on the account balance retrieval flow How should this requirement be implemented to achieve better throughput?
Correct Answer: C
* Try-Catch Scope for Data Fetching: * Implement a try-catch scope to handle any errors that may occur while fetching account balances from the backend application. This ensures that the main process flow can handle exceptions gracefully without failing entirely. * Async Scope for Inserting Records into Audit Database: * Use the Async scope within the try-catch block to insert records into the audit database. The Async scope allows operations to be performed asynchronously, ensuring that the insertion process does not block the main thread of execution. * By doing this, the primary flow of fetching account balances remains unaffected and can achieve higher throughput as the auditing process runs concurrently. * Ensuring Better Throughput: * The async processing ensures that the time-consuming database insertion for auditing purposes does not impede the performance of the main flow, which is crucial for real-time or near-real-time systems. References: * MuleSoft Documentation on Async Scope * Best practices for Error Handling in MuleSoft