Become Salesforce Certified with updated Heroku-Architect exam questions and correct answers
Your organization has developed a new microservices architecture on Heroku. As the Salesforce Heroku Architect, you’ve been tasked with building an orchestration layer using Apache Kafka on Heroku. What is the most effective way to ensure fault tolerance for your data flows in this scenario?
You can use the Salesforce REST APIs to:
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?
Which of the following is NOT an advantage of data replication over data proxies?
Your organization is running a data-intensive Heroku application using Heroku Postgres as its primary database. The application experiences heavy read and write operations, and you need to reduce the load on the primary database without affecting its performance. What would be the best approach to achieve this?
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