Interview preparation for testers in Testing Fundamentals - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Understanding Test Case Prioritization

Imagine you have 100 test cases but only time to run 20 before a release. Which approach best helps you choose which test cases to run first?

A Run test cases that cover the most critical features and recent bug fixes first.

B Run the first 20 test cases in the order they were written.

C Run test cases randomly to avoid bias.

D Run only the test cases that are easiest to execute.

💡 Hint

Think about which tests give the most value in finding important bugs quickly.

Prioritizing test cases that cover critical features and recent bug fixes helps catch important issues early, making the best use of limited testing time.

❓ Predict Output

intermediate

Test Assertion Outcome

What will be the result of this test assertion in Python?

Testing Fundamentals

def add(a, b):
    return a + b

result = add(2, 3)
assert result == 6, f"Expected 6 but got {result}"

A Test passes silently with no error.

B TypeError because add function arguments are wrong.

C SyntaxError due to incorrect assert syntax.

D AssertionError with message 'Expected 6 but got 5'.

💡 Hint

Check what the add function returns and what the assertion expects.

The add function returns 5 for inputs 2 and 3, but the assertion expects 6, so it raises an AssertionError with the message.

❓ locator

advanced

Choosing the Best Locator for UI Testing

You need to select a locator for a login button on a webpage. Which locator is best for stable and maintainable tests?

A Locate by XPath using absolute path like /html/body/div[2]/button[1].

B Locate by index position among sibling elements.

C Locate by CSS class name that is unique and descriptive, e.g., '.btn-login'.

D Locate by button text which may change, e.g., 'Click Here'.

💡 Hint

Think about what makes locators less likely to break when the page changes.

Using a unique and descriptive CSS class is more stable and maintainable than absolute XPath or text that can change.

🔧 Debug

advanced

Debugging a Failing Test Case

Given this test code snippet, what is the cause of the failure?

Testing Fundamentals

def divide(a, b):
    return a / b

def test_divide():
    result = divide(10, 0)
    assert result == 0, "Division by zero should return 0"

A The test code has a syntax error in the assert statement.

B The divide function raises a ZeroDivisionError instead of returning 0.

C The assertion expects wrong output; division by zero returns None.

D The divide function is missing and causes a NameError.

💡 Hint

Think about what happens in Python when dividing by zero.

In Python, dividing by zero raises a ZeroDivisionError unless handled inside the divide function.

❓ framework

expert

Test Framework Design for Parallel Execution

You want to run tests in parallel to speed up execution. Which framework feature is essential to avoid flaky tests?

A Tests are isolated with independent setup and teardown for each test.

B Tests share global variables to reduce memory usage.

C Tests write logs to the same file without synchronization.

D Tests depend on the order of execution to pass.

💡 Hint

Consider what causes tests to interfere with each other when run at the same time.

Isolating tests with independent setup and teardown prevents shared state issues and makes parallel runs reliable.