Why is data validation important in software testing?
Think about what happens if wrong data is processed by software.
Data validation ensures inputs are correct and safe before software uses them, preventing errors and security issues.
What is the output of this Python validation function when input is 'abc123'?
def is_alphanumeric(s): return s.isalnum() result = is_alphanumeric('abc123') print(result)
Check what isalnum() returns for letters and numbers combined.
The isalnum() method returns True if all characters are letters or numbers, which 'abc123' is.
Which assertion correctly tests that the email validation function rejects an invalid email?
def validate_email(email): import re pattern = r'^[\w\.-]+@[\w\.-]+\.\w+$' return bool(re.match(pattern, email))
Consider if 'user@domain' is a valid email format.
'user@domain' lacks a top-level domain like '.com', so validation should fail and return False.
What error will this JavaScript code produce when validating a number input?
function validateNumber(input) { if (typeof input === 'number' && input > 0) { return true; } else { return false; } } console.log(validateNumber('5'));
Check the type of the input '5' (string) compared to number.
The input is a string '5', so typeof input === 'number' is false, returning false.
In automated UI testing, which locator is best to find a validation error message that appears below an input field with id 'username'?
Think about locating the error message specifically related to the username input.
Option D precisely locates the span with class 'error' that is a sibling of the input with id 'username', ensuring correct element selection.