Integration testing in Testing Fundamentals - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Purpose of Integration Testing

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

A To validate the user interface design and usability

B To verify that individual units or components work correctly in isolation

C To test the software's performance under heavy load

D To check that different modules or services work together as expected

💡 Hint

Think about what happens after individual parts are tested separately.

Integration testing focuses on checking if different parts of the software interact correctly, ensuring combined functionality works as intended.

❓ Predict Output

intermediate

Integration Test Result Interpretation

Given the following integration test code snippet, what will be the output after running the test?

Testing Fundamentals

def service_a():
    return 5

def service_b(x):
    return x * 2

result = service_b(service_a())
print(result)

A 10

B 5

C TypeError

D None

💡 Hint

Calculate the output step-by-step: service_a returns a value, then service_b uses it.

service_a returns 5, service_b multiplies input by 2, so 5 * 2 = 10.

❓ assertion

advanced

Correct Assertion for Integration Test

Which assertion correctly verifies that two integrated components return the expected combined result?

Testing Fundamentals

def component_x():
    return 'Hello'

def component_y():
    return 'World'

combined = component_x() + ' ' + component_y()

A assert combined != 'Hello World'

B assert combined == 'HelloWorld'

C assert combined == 'Hello World'

D assert combined is None

💡 Hint

Check the exact string value stored in combined.

The combined string includes a space between 'Hello' and 'World', so the assertion must match 'Hello World'.

🔧 Debug

advanced

Identify the Integration Test Bug

Find the bug in this integration test code that causes the test to fail unexpectedly.

Testing Fundamentals

def api_call():
    return {'status': 200, 'data': [1, 2, 3]}

def process_data():
    response = api_call()
    return response['data'][3]

result = process_data()

A TypeError because response is not a dictionary

B IndexError because response['data'][3] is out of range

C KeyError because 'data' key is missing

D No error, result is 3

💡 Hint

Check the length of the list and the index accessed.

The list has indices 0,1,2. Accessing index 3 causes an IndexError.

❓ framework

expert

Best Practice for Integration Test Isolation

In integration testing, which approach best ensures tests do not affect each other when accessing shared resources like databases?

A Use mock objects to simulate external services and reset database state before each test

B Run all tests in parallel without resetting any state

C Only test one integration at a time manually

D Ignore database state and rely on production data

💡 Hint

Think about how to keep tests independent and repeatable.

Using mocks and resetting database state before each test keeps tests isolated and reliable.