A company has a large Salesforce environment with many different objects and data types. They’re developing a Heroku application for advanced analytics and machine learning, and they need to ensure data consistency between Salesforce and the Heroku Postgres database. The Heroku application doesn’t need to reflect changes in Salesforce in real-time, but it does need to have the most recent data within a reasonable time frame. Which approach would be best for this situation?
Your organization’s application on Heroku is experiencing unexpected traffic spikes, causing performance issues. As a Salesforce Certified Heroku Architect, what approach would you recommend to handle these traffic spikes and maintain the application’s performance?
The existing architecture of your application suffers from a single point of failure, which makes the system vulnerable to downtime. As a Salesforce Certified Heroku Architect, which Heroku Enterprise feature would you recommend to address this issue and improve the system’s architecture?
Your company is planning to build a large-scale application that needs to handle millions of transactions per day and connect to various on-premise data sources. As a Heroku Architect, which feature of Heroku Enterprise can significantly improve the scalability and connectivity of your application architecture?