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What security practice verifies that data meets completeness, accuracy, and consistency?

  1. Integrity checks

  2. Validation rules

  3. Secure cookies

  4. Access controls

The correct answer is: Validation rules

Validation rules are an essential component in ensuring that data meets the criteria of completeness, accuracy, and consistency. These rules are established to set the standards that the incoming data must meet before it is accepted into a database or processed further. They ensure that the data adheres to pre-defined formats, ranges, or constraints, thereby preventing invalid or incomplete data from corrupting databases or applications. For instance, validation rules can specify that a date field must contain a valid date within a certain range, or that input cannot be left blank, which directly relates to the completeness aspect. They also help in cross-checking values so that they align correctly with one another, enhancing the accuracy and consistency of the data collected. In contrast, integrity checks primarily focus on ensuring that the data remains unchanged and accurate over its lifetime, but they do not actively verify the initial conditions under which data is entered. Secure cookies are related to web security, helping to manage session integrity and authentication but are not used for data verification in databases. Access controls deal with who is allowed to view or use resources, which is more about restricting unauthorized access rather than verifying the integrity or accuracy of data.