Why is it cheaper to find and fix bugs early in the software development process?
Think about how problems grow if left unnoticed.
Finding bugs early prevents them from causing more issues later, which saves time and money.
Consider this simple test result log. What is the total number of failed tests?
test_results = ['pass', 'fail', 'pass', 'fail', 'fail'] failed_count = test_results.count('fail') print(failed_count)
Count how many times 'fail' appears in the list.
The count method returns how many times 'fail' is in the list, which is 3.
Which assertion best ensures that a critical function returns a non-empty result to avoid costly failures?
def critical_function(): return 'data' result = critical_function()
Think about what condition prevents empty or missing data.
Asserting the result is not empty ensures the function returns meaningful data, preventing failures.
Given this test code, what is the main reason it might miss a costly failure?
def add(a, b): return a + b def test_add(): assert add(2, 3) == 5 assert add(-1, 1) == 0 # Missing test for string inputs
Think about input types that might break the function.
Not testing string inputs can cause unexpected errors in production, leading to costly failures.
Which test automation framework feature most effectively helps prevent costly failures in large projects?
Think about how faster feedback helps catch issues early.
Parallel test execution speeds up testing, allowing quick detection and fixing of failures, reducing costs.