Automation framework types in Testing Fundamentals - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Understanding Data-Driven Frameworks

Which statement best describes a data-driven automation framework?

A Test cases are written only once and cannot be reused with different data inputs.

B Test scripts are tightly coupled with the application UI elements, making maintenance easier.

C Test scripts are separated from test data, allowing multiple data sets to run the same test logic.

D Test execution depends on manual input during runtime to decide the next steps.

💡 Hint

Think about how test data and test scripts interact in this framework type.

Data-driven frameworks separate test data from scripts, enabling the same test to run with different inputs easily.

❓ Predict Output

intermediate

Output of Keyword-Driven Framework Example

Given this simplified keyword-driven test step list, what will be the output after execution?

steps = [
  {'keyword': 'open_browser', 'value': 'chrome'},
  {'keyword': 'navigate', 'value': 'https://example.com'},
  {'keyword': 'click', 'value': 'login_button'},
  {'keyword': 'input', 'value': 'username_field:admin'},
  {'keyword': 'input', 'value': 'password_field:1234'},
  {'keyword': 'click', 'value': 'submit_button'}
]
output = []
for step in steps:
  output.append(f"Executed {step['keyword']} with {step['value']}")
print(output)

A ["Executed open_browser with chrome", "Executed navigate with https://example.com", "Executed click with login_button", "Executed input with username_field:admin", "Executed input with password_field:1234", "Executed click with submit_button"]

B ["open_browser chrome", "navigate https://example.com", "click login_button", "input username_field:admin", "input password_field:1234", "click submit_button"]

C ["Executed open_browser", "Executed navigate", "Executed click", "Executed input", "Executed input", "Executed click"]

D SyntaxError: invalid syntax in the for loop

💡 Hint

Look at how the output list is built inside the loop.

The code appends a formatted string for each step, including keyword and value, resulting in option A.

❓ assertion

advanced

Assertion in Hybrid Framework Testing

In a hybrid automation framework combining keyword-driven and data-driven approaches, which assertion best verifies that a login test passed?

A assert browser.open() # Checks if browser opened successfully

B assert input('Enter username: ') == 'admin' # Checks user input correctness

C assert len(test_data) > 0 # Checks if test data exists

D assert page.title == 'Dashboard' # Checks if user reached dashboard after login

💡 Hint

Think about what confirms a successful login in the application.

Verifying the page title after login confirms the test passed, making option D correct.

🔧 Debug

advanced

Debugging Modular Framework Code

Identify the error in this modular framework test function:

def test_search():
    open_browser('firefox')
    enter_text('search_box', 'testing')
    click_button('search_btn')
    result = get_text('result_count')
    assert int(result) > 0
    close_browser()

A NameError because open_browser is not defined

B TypeError because get_text returns a string and cannot be compared with integer 0

C AssertionError because result is always zero

D No error, the test runs successfully

💡 Hint

Consider the data types involved in the assertion.

get_text likely returns a string, so comparing it directly to integer 0 causes a TypeError. Converting result to int fixes this.

❓ framework

expert

Choosing the Best Framework for Complex Test Suites

You need to automate a large web application with many reusable components and varying test data sets. Which framework type best fits this scenario?

A Hybrid framework combining modular design with data-driven testing for flexibility and reuse

B Record and playback framework for quick test creation without scripting

C Linear scripting framework with hardcoded test steps for simplicity

D Manual testing only, as automation is too complex

💡 Hint

Consider maintainability and reusability for large projects.

Hybrid frameworks combine strengths of modular and data-driven approaches, ideal for complex, reusable, and data-varied tests.