Data validation rules in Testing Fundamentals - Cheat Sheet & Quick Revision

Recall & Review

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What are data validation rules in software testing?

Data validation rules are checks that ensure the data entered into a system is correct, complete, and useful before processing.

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Why is data validation important in software applications?

It prevents errors, protects data integrity, and improves user experience by catching mistakes early.

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Name three common types of data validation rules.

1. Format checks (e.g., email format)<br>2. Range checks (e.g., age between 1 and 120)<br>3. Presence checks (e.g., mandatory fields not empty)

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What is a range check in data validation?

A range check ensures that a numeric or date value falls within a specified minimum and maximum limit.

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How does a format check help in data validation?

It verifies that data matches a required pattern, like checking if a phone number has the right number of digits.

Which of the following is NOT a common data validation rule?

A Presence check

B Color check

C Range check

D Format check

Color check is not a standard data validation rule; presence, range, and format checks are common.

What does a presence check validate?

A Data is not empty

B Data is unique

C Data matches a pattern

D Data is within a range

Presence check ensures that a required field is not left empty.

Why should data validation be done before processing data?

A To slow down the system

B To make the user enter data twice

C To delete all data

D To prevent invalid data from causing errors

Validating data early prevents errors and protects system integrity.

Which validation rule would check if an email address contains '@'?

A Format check

B Presence check

C Range check

D Uniqueness check

Format check verifies that data matches a required pattern, like an email format.

If a field requires a number between 1 and 100, which validation rule applies?

A Presence check

B Format check

C Range check

D Length check

Range check ensures the number falls within the specified limits.

Explain what data validation rules are and why they matter in software testing.

Think about how checking data before use helps avoid problems.

List and describe three common types of data validation rules with examples.

Consider mandatory fields, numeric limits, and pattern matching.