Apex is a programming language specifically designed for building applications on the Salesforce platform. If you're preparing for a coding interview focused on Apex, here are some common questions that might help you.
Please note that the complexity of the questions can vary, so adjust your preparation accordingly.
Welcome to the Salesforce Apex Best Practices repository! This guide aims to provide a comprehensive set of best practices for writing clean, efficient, and maintainable Apex code on the Salesforce platform.
Salesforce Apex is a powerful programming language tailored for building applications on the Salesforce platform. This guide aims to help developers write robust and scalable Apex code by following industry best practices.
Design your code to handle bulk operations. Ensure that triggers and classes can process records in bulk, avoiding unnecessary queries and updates inside loops.
Avoid placing SOQL queries or DML operations inside loops. Perform bulk operations outside the loop to minimize the number of queries and updates.
Leverage collections (lists, sets, maps) for efficient processing of multiple records. Properly use these tools to streamline your code.
Understand and respect Salesforce governor limits. Code defensively to handle exceptions due to these limits, especially in bulk processing scenarios.
Implement proper exception handling. Catch and handle exceptions with meaningful error messages. Log errors for easier debugging.
Add meaningful comments to your code, explaining complex logic or providing context. Use ApexDoc-style comments for classes and methods to generate documentation.
Use descriptive and meaningful names for variables, classes, and methods. Enhance code readability and make it easier for others to understand.
Follow the principle of separation of concerns. Divide your code into logical, modular components with distinct responsibilities.
Avoid hardcoding record IDs in your code. Use dynamic queries to retrieve records based on criteria whenever possible.
Consider using a trigger handler pattern to keep your trigger logic modular and organized. This helps separate trigger logic from business logic.
Prevent recursive triggers by using static variables or trigger context variables to control trigger execution.
Always write test classes to achieve at least 75% code coverage. Test various scenarios, including bulk operations, to ensure your code works in different situations.
Avoid hardcoding values directly in your code. Use custom settings or custom metadata types for configurable parameters.
For configurations that might change between environments, use custom settings or custom metadata types. This allows for easy configuration without modifying code.
Conduct regular code reviews with peers to get feedback on your code. This helps identify potential issues and ensures consistency in coding standards across the team.
Contributions are welcome! Fork the repository, create a new branch, make your changes, and submit a pull request. Please follow the contribution guidelines.
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