Selenium WebDriver with Java - Basics to Advanced and Frameworks - Parameterizing the Tests with Multiple Data using Tes

The video tutorial explains how to parameterize data in test cases using the data provider annotation in TestNG. It covers the concept of parameterization, the use of data provider annotations, and how to implement them in test cases. The tutorial also discusses different test scenarios, such as testing login functionality for restricted and non-restricted users. It demonstrates how to run tests with multiple data sets and highlights the importance of matching data types between the test method and the data provider.

What is the main purpose of using a data provider in TestNG?

• To debug test scripts

• To parameterize test data

• To hardcode test data

• To create test cases

Which annotation is used in TestNG for parameterizing data?

• @DataProvider

• @AfterTest

• @BeforeTest

• @Test

What does the 'row' in a data provider array represent?

• Number of test methods

• Number of different data sets

• Number of values per test

• Number of test cases

In the context of TestNG, what is a restricted user?

• A user with full access

• A user with admin access

• A user with limited access

• A user with no access

How many values are sent per test in the example discussed?

• Four

• Two

• One

• Three

What must be ensured when mapping data provider values to test method parameters?

• The data types must match

• The data must be in JSON format

• The data must be encrypted

• The data must be hardcoded

What happens if there is a mismatch in data types between the data provider and the test method?

• The test will run with default values

• The test will be skipped

• The test will fail

• The test will pass

What is the return type of a data provider method in TestNG?

• String

• Object[][]

• int

• void

What is the benefit of using parameterized tests?

• Increased test coverage

• All of the above

• Simplified test scripts

• Reduced test execution time

How does TestNG execute tests with multiple data sets?

• Only the first data set is used

• In parallel

• Randomly

• Sequentially, one after the other