Data & Testing Lecture Notes Review

Flashcards created to help review key concepts from the Data & Testing lecture notes.

What are the types of data validation tools mentioned in the lecture?

Data Type Check, Format Check, Input Mask, Presence Check, Length Check, Lookup, Range Check, Limited Choice.

What should you ensure about the data saved during validation?

Data should be sensible, reasonable, and consistent.

What will you learn about data and information?

The relationship between data and information, the use of data types, and how data is validated and verified.

Why is testing needed according to the lecture notes?

Testing is needed to ensure the product is functional and to avoid implications of a product that hasn't been tested.

What validation tool would be appropriate for entering a date of birth?

A Format Check or Data Type Check.

What is the implication of not validating data?

It may lead to inaccurate or inconsistent information being stored.

What are the types of testing that can be done on a product mentioned in the notes?

The types of testing include functional testing, integration testing, system testing, and user acceptance testing.

What is the difference between data validation and data verification?

Data validation ensures data is sensible and reasonable; data verification ensures that the data entered matches the original source.

What should you research for the assignment in your R050 TA3 Digital Workbook?

Research any validation tools you are unsure of and add notes and examples to section 3.2 Validation.

What is an example of a presence check in data validation?

Ensuring that a required field, such as an email address, is not left empty.