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When the code executes, a DML exception is thrown. How should a developer modify the code to ensure exceptions are handled gracefully?
Correct Answer: C
Why a try/catch block is required: In Salesforce, DML operations such as insert, update, delete, and upsert can throw exceptions due to issues like validation rule violations, field constraints, or sharing rule restrictions. Using a try/catch block ensures that these exceptions are caught and handled gracefully, preventing the entire transaction from failing. How to modify the code: The update statement in the code can be wrapped in a try/catch block to catch and handle any exceptions that occur. For example: apex Copy code public static void insertAccounts(List<Account> theseAccounts) { try { for (Account thisAccount : theseAccounts) { if (thisAccount.website == null) { thisAccount.website = 'https://www.demo.com'; } } update theseAccounts; } catch (DmlException e) { System.debug('DML Exception: ' + e.getMessage()); } } Why not the other options? A). Implement the upsert DML statement: upsert is used to either insert or update records based on an external ID or primary key. It does not inherently handle exceptions. B). Implement Change Data Capture: Change Data Capture (CDC) is used for tracking changes to data in real time and is unrelated to handling DML exceptions. D). Remove null items from the list of Accounts: While cleaning the input data is a good practice, it does not address the need for exception handling during DML operations. References: Apex Error Handling DML Operations in Apex