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9618 · 6.2

Data Integrity flashcards

Revision flashcards for Cambridge 9618 Data Integrity (syllabus 6.2). Flip, recall, then mark a real past-paper question.

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    What is Data Integrity?

    The maintenance of, and the assurance of the accuracy and consistency of, data over its entire life-cycle. It ensures data is correct, complete, and reliable.

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    What is Data Security?

    The protection of data from unauthorised access, use, disclosure, alteration, or destruction. It focuses on confidentiality and preventing malicious actions.

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    What is Data Validation?

    An automatic check performed by a computer program to ensure that the data entered is sensible, reasonable, and within acceptable limits before it is processed.

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    What is Data Verification?

    A check to ensure that data has been accurately transcribed from a source document or medium to another. It detects human errors made during data entry.

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    Give an example of a Range Check.

    Checking that a number entered for a student's exam mark is between 0 and 100 inclusive.

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    Give an example of a Format Check.

    Checking that a car registration number is entered in the pattern 'LLNN LLL', where L is a letter and N is a number.

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    What is a Presence Check?

    A validation check that ensures a field has not been left blank and that some data has been entered.

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    What is a Length Check?

    A validation check that ensures the entered data has the correct number of characters, or is within a minimum and maximum length.

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    What is a Check Digit?

    A form of redundancy check used for error detection on identification numbers. It's an extra digit calculated from the other digits, which is a type of validation.

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    What is Double Entry?

    A verification method where data is entered twice, and the two entries are compared by the computer. If they differ, an error is flagged.

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    What is a Visual Check?

    A verification method where the user compares the data entered on the screen with the original source document to check for transcription errors. Also known as proofreading.

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    Can data pass validation but still be incorrect? Explain with an example.

    Yes. If a user's correct age is 25 but they accidentally type 26, a range check for ages 18-65 would pass. The data is valid (reasonable) but not correct.