Salesforce Certified Data Architecture Practice Test

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Prepare for the Salesforce Certified Data Architecture exam with our interactive quiz. Utilize flashcards and multiple-choice questions, accompanied by detailed explanations and tips to excel in your certification journey!

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What method can be used to ensure timely updates of records in Salesforce to avoid data inconsistency?

  1. Implement scheduled batch jobs for periodic updates.

  2. Use outbound messaging for real-time updates.

  3. Leverage platform events for event-driven architecture.

  4. Create triggers that process updates synchronously.

The correct answer is: Leverage platform events for event-driven architecture.

Leveraging platform events for event-driven architecture is an effective method for ensuring timely updates of records in Salesforce, thereby helping to avoid data inconsistency. Platform events support a publish-subscribe model, allowing different parts of an application or multiple systems to communicate with each other in real-time. When an event occurs, it triggers a notification that subscribers can listen to and act on immediately. This ensures that updates happen in real-time across integrated systems, maintaining consistency in data. This approach is particularly valuable in complex environments where multiple systems interact, as it allows for seamless data synchronization and immediate responsiveness to changes, which is essential in maintaining accurate and current data. It also decouples the systems involved, thus promoting flexibility and scalability in the architecture. Other methods, such as implementing scheduled batch jobs, tend to introduce delays between the time data is changed and when those changes are applied, which may lead to temporary inconsistencies. Outbound messaging is another method that provides real-time updates but is limited in its actions and might not be as robust as platform events in certain scenarios. Creating synchronous triggers can lead to performance issues, especially if processing time increases or if there are large volumes of data changes, potentially causing timeouts and further complications. Therefore, platform events stand out as