Smoke testing and sanity testing in Testing Fundamentals - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Difference between smoke testing and sanity testing

Which statement correctly describes the main difference between smoke testing and sanity testing?

A Smoke testing is performed only by developers; sanity testing is performed only by testers.

B Smoke testing is done after sanity testing to confirm detailed features; sanity testing tests the whole system.

C Smoke testing checks basic functionality of the entire system; sanity testing verifies specific functionality after changes.

D Smoke testing focuses on UI elements; sanity testing focuses on backend database.

💡 Hint

Think about the scope and purpose of each test type.

Smoke testing quickly checks if the main parts of the system work after a build. Sanity testing checks specific parts after small changes.

❓ Predict Output

intermediate

Output of smoke test result summary

Given this test result summary code, what will be the printed output?

Testing Fundamentals

def smoke_test_results(tests):
    passed = sum(1 for t in tests if t['status'] == 'pass')
    total = len(tests)
    if passed == total:
        return 'Build Passed Smoke Test'
    else:
        return f'Build Failed Smoke Test: {total - passed} tests failed'

results = [
    {'name': 'Login', 'status': 'pass'},
    {'name': 'Signup', 'status': 'pass'},
    {'name': 'Dashboard', 'status': 'fail'}
]
print(smoke_test_results(results))

A Build Passed Smoke Test

B Build Failed Smoke Test: 1 tests failed

C Build Failed Smoke Test: 2 tests failed

D Build Passed Smoke Test: 3 tests passed

💡 Hint

Count how many tests have status 'pass' and compare with total.

Two tests passed, one failed. So the output shows failure with 1 test failed.

❓ assertion

advanced

Correct assertion for sanity test verification

Which assertion correctly verifies that a sanity test confirms a bug fix by checking the fixed feature returns expected output?

Testing Fundamentals

def fixed_feature(x):
    # Returns square of x
    return x * x

result = fixed_feature(4)

A assert result == 16

B assert result > 20

C assert result == 8

D assert result != 16

💡 Hint

Calculate the expected output of fixed_feature(4).

The function returns 4 * 4 = 16, so the assertion must check for 16.

🔧 Debug

advanced

Identify error in smoke test automation script

What error will this smoke test automation code raise when executed?

Testing Fundamentals

def run_smoke_tests(tests):
    for test in tests:
        if test['status'] == 'fail':
            return 'Smoke test failed'
    return 'Smoke test passed'

print(run_smoke_tests([{'name': 'API', 'status': 'pass'}]))

A Returns 'Smoke test failed'

B TypeError because 'status' key is missing

C Returns 'Smoke test passed'

D SyntaxError due to assignment in if condition

💡 Hint

Check the if statement syntax carefully.

The if condition uses '=' instead of '==', causing a SyntaxError.

❓ framework

expert

Best practice for integrating smoke and sanity tests in CI pipeline

Which option best describes how to integrate smoke and sanity tests in a continuous integration (CI) pipeline for efficient testing?

A Run smoke tests immediately after build; if passed, run sanity tests on changed modules only.

B Run sanity tests first on all modules; then run smoke tests on critical features.

C Run smoke and sanity tests in parallel on the entire application after deployment.

D Skip smoke tests and run only sanity tests after every code commit.

💡 Hint

Think about quick feedback and focused testing after changes.

Smoke tests quickly check build stability. Sanity tests verify specific changes. Running smoke tests first saves time by stopping early if build is unstable.