Use the following curated set of questions and answers as a foundation to evaluate potential candidates' proficiency and compatibility while hiring Laravel developers for your team.
1.
Explain the purpose of named routes in Laravel.
Named routes in Laravel provide a more convenient way to reference routes when generating URLs or redirects. Instead of using route URLs directly, developers assign a name to a route using the name() method. This approach improves code readability, simplifies route management, and allows for easier URL updates without changing every instance in the codebase.
2.
How does Laravel's query builder protect against SQL injection attacks?
Laravel's query builder employs PDO parameter binding to prevent SQL injection. This binding automatically escapes user input, making it safe for database queries. Using parameter binding, developers can pass input as placeholders, eliminating the need for manual sanitation and offering robust security against malicious SQL injection attempts.
3.
What are aggregates in Laravel's query builder?
Aggregates are functions like count(), max(), min(), avg(), and sum() available in Laravel's query builder. They enable developers to retrieve summarized information from the database. For instance, count() counts rows, avg() calculates averages, and sum() totals numeric values. These functions are essential for generating insights and reports from large datasets.
4.
How do you create a migration in Laravel, and what purpose do migrations serve?
Migrations in Laravel are created using the make:migration Artisan command. Migrations serve as a version control system for database schemas. They allow developers to modify and share schema changes in a collaborative environment. Migrations ensure consistency across team members and streamline applying database changes during development, testing, and production.
5.
How can you enable query log in Laravel's query builder, and what benefits does it offer?
To enable query log, developers can use DB::connection()->enableQueryLog(). Query log records executed SQL queries, helping developers analyze and optimize database interactions. This feature aids in debugging, identifying performance bottlenecks, and fine-tuning database queries for optimal efficiency, contributing to a smoother-running application.