Salesforce PDII Dumps - Pass Salesforce Certified Platform Developer II Exam in First Attempt 2026

The test class may not be re-querying the Account record after updating the Opportunity, which is necessary to verify the updated field values. If the test does not query the database to get the most recent data after the trigger runs, it will not see the changes made by the trigger.

When rolling back to a savepoint, any DML operations that occurred after that savepoint are undone, but static variables are not reverted. Therefore, when a rollback occurs, the state of all static variables at the time of the rollback remains the same as it was just before the rollback.

To ensure error messages are properly displayed in a Lightning web component, the developer should use JavaScript to handle errors in the component's client-side code and use HTML to display the message on the UI. This can be combined with Apex exception handling for server-side operations.

When dealing with large data volumes in Salesforce and ensuring optimal performance for queries, it's important to choose an approach that both handles the data volume efficiently and retrieves the complete result set.

Option D is correct because using the Database.QueryLocator method is a best practice for handling large data volumes. It is typically used with batch Apex, which can process records in batches, thus reducing the likelihood of hitting governor limits. It's designed to handle very large data sets that would otherwise exceed normal SOQL query limits.

Option A is incorrect because creating a formula field doesn't improve the performance of the query. It simply creates a new field that combines existing data, but it does not inherently optimize the query execution.

Option B is incorrect because breaking down the query into two parts and joining them in Apex could potentially be less efficient and would require additional code to manage the combined result sets. This approach does not leverage the built-in Salesforce features designed to handle large data volumes.

Option C is incorrect because the @Future annotation makes the method execute asynchronously, but it does not help with query performance or large data volume management.

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Salesforce Documentation on Working with Very Large SOQL Queries: Working with Very Large SOQL Queries

Salesforce Documentation on Using Batch Apex: Using Batch Apex

The best practices for writing triggers in Salesforce include bulkifying your code to handle multiple records efficiently and reducing the number of SOQL queries, especially within loops, to avoid hitting governor limits.

Option B is correct because moving the SOQL query outside of the for loop is essential to bulkify the trigger. Performing a query within a loop can cause a SOQL governor limit to be reached if the trigger is processing many records. The best practice is to collect all necessary data before the loop starts and then process it within the loop.

Option C is correct as well, because using a Map to cache the results of a SOQL query by Id is another way to bulkify the code. This allows you to query all the necessary data once and then access it efficiently in memory, avoiding repeated queries.

Option A is incorrect because adding isExecuting before the update doesn't address any best practices related to bulkification or SOQL query optimization.

Option D is incorrect because the last line should not be removed if the developer intends to perform DML on the accountList. However, this line should be outside of the loop and is unnecessary if the trigger context is 'before insert' or 'before update', since in those contexts, changes to records in Trigger.new are implicitly saved without the need for explicit DML.

Apex Developer Guide on Triggers: Triggers and Order of Execution

Salesforce Developer Blog on Trigger Best Practices: Trigger Best Practices