Salesforce Certified Integration Architect — Question 71

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 has failed ever since it was rolled out to production.
What type of monitoring should the integration consultant have considered to monitor this integration?

Answer options

• A. Set up debug logs for Platform Event triggers to monitor performance.
• B. Monitor Platform Events created per hour limits across the Salesforce instance.
• C. Validate the Platform Event definition matches leads definition.
• D. Monitor the volume of leads that are created in Salesforce.

Correct answer: B

Explanation

Monitoring the hourly limits of Platform Events is crucial because exceeding these limits can lead to failures in processing events, such as in this scenario. While debug logs (A) can help troubleshoot specific issues, they do not provide a holistic view of system performance related to limits. Validating definitions (C) is important but does not directly address monitoring. Monitoring lead volume (D) is relevant but less critical than ensuring Platform Events are within operational limits.