Have you worked with SQL on your project?

Yes, within automation testing projects, it is often necessary to work with SQL for data verification in databases, preparing test data, and validating results.

For example, SQL queries can be used for:

• Checking the correctness of records after performing operations in the application.
• Preparing the test environment — inserting, updating, or deleting data.
• Validating business logic at the database level.

An example of a simple query to check for a user's existence:

SELECT COUNT(*) FROM users WHERE username = 'test_user';

In automation, libraries such as pyodbc, psycopg2 (for PostgreSQL), sqlite3, and others are often used, which allow integrating SQL queries into test scenarios.