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.

Option C is correct because including selective criteria in query filters can improve the performance of the integration. Selective criteria are filters that reduce the number of records that need to be scanned by the query optimizer, such as indexed fields, standard indexes, or custom indexes. Selective criteria can help the query run faster and avoid hitting the query timeout limit or the query row limit.

Option D is correct because removing the sharing restrictions can improve the performance of the integration. Sharing restrictions are filters that limit the access to records based on the user’s role, profile, or sharing rules.Sharing restrictions can add complexity and overhead to the query execution, as they require additional joins and calculations. Removing the sharing restrictions can simplify the query and reduce the number of records that need to be processed.

Option A is incorrect because including non-selective criteria in query filters can degrade the performance of the integration. Non-selective criteria are filters that do not reduce the number of records that need to be scanned by the query optimizer, such as non-indexed fields, formula fields, or OR conditions. Non-selective criteria can cause the query to run slower and hit the query timeout limit or the query row limit.

Option B is incorrect because removing the query filters can degrade the performance of the integration. Query filters are conditions that specify which records to retrieve from the database, such as WHERE clauses or LIMIT clauses. Query filters can help the query run faster and avoid retrieving unnecessary or unwanted data. Removing the query filters can increase the number of records that need to be processed and transmitted by the integration.