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A customer of Salesforce has used Platform Events to integrate their Salesforce instance with an external third-party Artificial Intelligence (AI) system. The AI system provides a prediction score for each lead that is received by Salesforce. Once the prediction score is received, the lead information is saved to Platform events for other processes. The trigger on the Platform Events is failing once this was rolled out to Production. What type of monitoring should the Integration Consultant have considered to monitor this integration?
Correct Answer: A
Explanation The integration consultant should have considered monitoring the Platform Events created per hour limits across the Salesforce instance. This is because Platform Events have a limit on the number of events that can be published or delivered per hour, depending on the edition and license type. If this limit is exceeded, the trigger on the Platform Events may fail or be delayed. Option B is not correct because debug logs for Platform Event triggers are not useful for monitoring performance. Debug logs are used for troubleshooting issues or errors in the trigger logic, not for measuring the throughput or latency of the events. Option C is not correct because validating the Platform Event definition matches leads definition is not a monitoring task, but a design task. The integration consultant should have ensured that the Platform Event definition matches leads definition before deploying the integration to production. Option D is not correct because monitoring the volume of leads that are created in Salesforce is not relevant for this integration. The volume of leads does not affect the trigger on the Platform Events, as long as the Platform Events created per hour limits are not exceeded.