Automation Developer Professional Practice Test 2025 - Free Practice Questions and Study Guide

The purpose of using data-driven testing primarily revolves around the ability to execute the same test script with various data sets. This approach is particularly valuable in automation testing, as it allows for a single script to validate multiple scenarios. By utilizing different sets of input data, testers can comprehensively assess how the application behaves under diverse conditions without the need to multiply the number of test scripts. This efficiency not only saves time and resources but also ensures that a broad coverage of scenarios is tested, which is essential for identifying potential issues.

Using data-driven testing, teams can also implement changes to the data without altering the test script logic, making it easier to adapt tests to evolving requirements or new features. This method enhances maintainability and reduces redundancy, leading to more efficient test execution.