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Which code block correctly returns the ListView of an Account object using a debug statement?

  1. ApexPages.StandardSetController controller = new ApexPages.StandardSetController([SELECT Id FROM Account LIMIT 1]);

  2. ApexPages.StandardController controller = new ApexPages.StandardController(Database.getQueryLocator('select Id from Account Limit 1'));

  3. ApexPages.StandardController controller = new ApexPages.StandardController([SELECT Id FROM Account LIMIT 1]);

  4. ApexPages.StandardSetController controller = new ApexPages.StandardSetController(Database.getQueryLocator('select Id from Account Limit 1'));

The correct answer is: ApexPages.StandardSetController controller = new ApexPages.StandardSetController(Database.getQueryLocator('select Id from Account Limit 1'));

The selected answer utilizes the `ApexPages.StandardSetController` with a `Database.getQueryLocator` method, which is the appropriate way to handle large sets of records in Salesforce Visualforce pages. The `StandardSetController` is designed to work with large data sets efficiently. By utilizing `Database.getQueryLocator`, it allows for pagination and better memory management, which is vital when dealing with scenarios where the number of records can be substantial. The use of the query string retrieves a set of records (in this case, Account records) that can be displayed in a ListView format. Additionally, this approach enables developers to implement features like pagination in the user interface without loading all records at once, which enhances performance. This usage is essential for adhering to limits in Salesforce, particularly with governor limits around heap size and query results. In contrast, other choices either misuse `ApexPages.StandardController`, which is meant for single records, or employ direct queries without the pagination benefits provided by `StandardSetControler`, therefore not facilitating the management of potentially large result sets optimally. Such configurations would not yield the intended ListView behavior for larger datasets effectively.