Salesforce Integration-Architect Exam With Confidence Using Practice Dumps

Option B is correct because platform events are published after the Apex transaction completes. Platform events are asynchronous messages that are published and consumed by different processes or systems. When an Apex transaction publishes a platform event, the event is not sent immediately, but rather added to a temporary queue. The event is only published and delivered to the subscribers after the Apex transaction commits successfully. This ensures that the event data is consistent with the database state and that the event is not lost in case of a rollback.

Option A is incorrect because platform events are not published immediately before the Apex transaction completes. As explained above, platform events are published after the Apex transaction commits successfully. Publishing events before the transaction completes can cause data inconsistency and event loss issues.

Option C is incorrect because platform events can have a trigger in Apex, but this is not related to the question of when events are published. A platform event trigger is a special type of Apex trigger that executes when a platform event message is received by Salesforce. A platform event trigger can perform logic based on the event data, such as updating records, sending notifications, or calling external services. A platform event trigger does not affect the publishing of events, but rather the consumption of events.

Option D is incorrect because platform events can be published from Apex, but this does not answer the question of when events are published. Platform events can be published from various sources, such as Apex code, Process Builder, Flows, or API calls. Publishing events from Apex requires creating an instance of a platform event object and using the EventBus.publish method to add it to the temporary queue. The actual publishing of events happens after the Apex transaction completes, regardless of the source of the events.

 Reducing the batch size of asynchronous BULK API and submitting the legacy system in parallel mode are two recommendations that can improve the integration performance. The BULK API is designed to handle large-scale data loads, but it can also cause latency issues if the batch size is too large or the network bandwidth is insufficient. Reducing the batch size can help to avoid timeouts and improve throughput. Submitting the legacy system in parallel mode can also speed up the integration process by allowing multiple batches to be processed concurrently, as long as there are no dependencies or conflicts between them. Reference: Salesforce Integration Architecture Designer Resource Guide, page 21