Pass the Salesforce Developers PDII Questions and answers with CertsForce

Use Database.Batchable for handling large data sets. It can efficiently process 100,000 Catalog Items asynchronously and update CurrencylsoCodes.

Using Database.setSavepoint() and Database.rollback() within a try-catch statement is the recommended approach for handling transactions that involve multiple DML operations. This allows the developer to roll back all changes if an error occurs, ensuring that partial changes are not committed to the database.

Using Continuation for both callouts is the optimal solution when you have long-running callouts in a Visualforce page, as it allows the page to wait for a long-running process without tying up server resources. The Continuation pattern is specifically designed for scenarios where the request-response cycle could exceed the timeout limits.

The correct order in tests with callouts is Test.startTest(), then Test.setMock(), followed by the method invocation, and finally Test.stopTest(). This ensures the mock callout is used.

When developing a custom screen that requires both an Account and Contact to be created together, using setSavepoint() and rollback() within a try-catch block is a reliable way to ensure that if the Contact creation fails, the Account creation is also rolled back, maintaining data integrity.

The loop contains a SOQL query inside, causing it to run multiple times. This will throw a QueryException because the Account query returns more than one row.

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.

The System.CalloutException with the message "Unauthorized endpoint" typically indicates that the endpoint to which the callout is being made has not been authorized in the Salesforce org's security settings. To resolve this, the developer must navigate to the Remote Site Settings in the Salesforce Setup and add the endpoint URL as a new remote site. This step is necessary to authorize the Salesforce org to send outbound callouts to that specific endpoint. Annotating with @Future(Callout=true) is necessary for making callouts from methods that perform DML operations, but it does not resolve endpoint authorization issues. Similarly, changing the access modifier or using SetHeader() for authentication would not address the unauthorized endpoint error.