Data Validation is defined as which of the following?

Data Validation is defined as which of the following?

• A. the process of converting data types
• B. the process of storing data securely
• C. the process of verifying that a program's input data is within the expected range
• D. the process of verifying that output matches input

Answer: (C)

Data validation is about making sure incoming data fits the rules defined for the program before it's processed. The correct idea here is to verify that input data lies within the expected range, because range checks are a core part of validating data and prevent values that could cause errors or incorrect results. It’s not about converting data types, which changes how data is represented; it isn’t about storing data securely, which is about protection; and it isn’t about ensuring output matches input, which is about post-processing integrity. In practice, validation also covers formats and types, and cross-field constraints, but confirming that values fall within allowed limits is a central, commonly used aspect. For example, ensuring an age input is between 0 and 120.

Data validation is about making sure incoming data fits the rules defined for the program before it's processed. The correct idea here is to verify that input data lies within the expected range, because range checks are a core part of validating data and prevent values that could cause errors or incorrect results. It’s not about converting data types, which changes how data is represented; it isn’t about storing data securely, which is about protection; and it isn’t about ensuring output matches input, which is about post-processing integrity. In practice, validation also covers formats and types, and cross-field constraints, but confirming that values fall within allowed limits is a central, commonly used aspect. For example, ensuring an age input is between 0 and 120.