Acceptance testing in Testing Fundamentals - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Purpose of Acceptance Testing

What is the main purpose of acceptance testing in software development?

A To check the internal code quality and adherence to coding standards

B To verify the software meets the business requirements and is ready for delivery to the user

C To test the software's performance under heavy load conditions

D To find and fix syntax errors in the source code

💡 Hint

Think about who acceptance testing is done for and what it confirms.

Acceptance testing ensures the software meets the agreed business needs and is acceptable to the user before release.

❓ Predict Output

intermediate

Acceptance Test Result Interpretation

Given this acceptance test result summary, what is the overall test outcome?

Test Case 1: Passed
Test Case 2: Passed
Test Case 3: Failed
Test Case 4: Passed

A The test results are inconclusive without performance test results

B The software is accepted because most tests passed

C The software is accepted because failed tests are ignored in acceptance testing

D The software is rejected because at least one acceptance test failed

💡 Hint

Acceptance testing requires all critical tests to pass for acceptance.

If any acceptance test fails, the software does not meet the acceptance criteria and is rejected.

❓ assertion

advanced

Correct Assertion for Acceptance Criteria

Which assertion best verifies that a user login feature meets acceptance criteria?

Testing Fundamentals

def test_user_login():
    result = login('user1', 'password123')
    # Which assertion below is correct?

A assert result == True # Checks boolean success

B assert result is not None # Checks only that something is returned

C assert result == 'Login successful' # Checks exact success message

D assert 'error' not in result.lower() # Checks no error word in message

💡 Hint

Acceptance criteria usually specify exact expected outcomes.

Checking the exact success message ensures the feature behaves as the user expects.

🔧 Debug

advanced

Identify the Acceptance Test Bug

Find the bug in this acceptance test code for a shopping cart feature:

def test_add_item():
    cart = ShoppingCart()
    cart.add_item('apple')
    assert 'apple' in cart.items  # Check item added
    assert len(cart.items) == 0  # Check cart size

A The second assertion is wrong; it should check for length 1, not 0

B The first assertion is wrong; 'apple' should not be in cart.items

C The cart object is not initialized correctly

D The add_item method is missing parentheses

💡 Hint

Think about what happens after adding one item to the cart.

After adding 'apple', the cart should have one item, so length should be 1, not 0.

❓ framework

expert

Best Practice for Automating Acceptance Tests

Which approach is best for automating acceptance tests to ensure maintainability and clarity?

A Use a behavior-driven development (BDD) framework with clear feature files and step definitions

B Write acceptance tests as long, complex scripts mixing UI and API calls without separation

C Automate acceptance tests only after the software is released to production

D Use random test data without documenting expected outcomes

💡 Hint

Think about readability and collaboration between testers and business stakeholders.

BDD frameworks use plain language to describe acceptance criteria, making tests clear and maintainable.