Question

Data integrity in a file based system may be lost because

Answer 1

Answer:

Definition of Data integrity:

Data integrity is the overall accuracy, completeness, and consistency of data. Data integrity also refers to the safety of data in regard to regulatory compliance — such as GDPR compliance — and security. It is maintained by a collection of processes, rules, and standards implemented during the design phase. When the integrity of data is secure, the information stored in a database will remain complete, accurate, and reliable no matter how long it’s stored or how often it’s accessed.

Data integrity in a file based system may be lost because the same variable may have different values in different file.

Answer 2

Correct Question:

(A)The same variable may have different values in different files

(B) Files are duplicated

(C) Unnecessary data is stored in files

(D) Redundant data is stored in files.

Answer:

Correct answer:

(A) the same variable may have different values in different files.

Data integrity in a file based system may be lost because the same variable may have different values in different files.

Explanation:

Different files may have different values for the same variable. Any characteristic, number, or quantity that can be measured or counted is referred to as a variable. A data item is another name for a variable. Variables include age, sex, business income and expenses, country of birth, capital expenditure, class grades, eye color, and vehicle type. Data integrity in a file based system may be lost because the same variable may have different values in different files. Variables are the names given to the differences we want to explain. A variable is either the result of a force or the force that causes another variable to change. These are referred to as dependent and independent variables in experiments.