What is data validation?, Ensuring data is accurate and consistent, Checking data against predefined rules and criteria, Encrypting data for security purposes, Backing up data to prevent loss, Which of the following is NOT a common method of data validation?, Spell check, Range check, Format checks, Presence checks, True or False: Data validation ensures that data is accurate and complete at the time of entry into the system., True, False, Which of the following is an example of a format check?, Verifying that a phone number is in the correct format (e.g., (123) 456-7890), Checking that a numeric field falls within a specific range, Ensuring that a date is entered in MM/DD/YYYY format, Verifying that an email address is unique, What is the purpose of data verification?, Ensuring data is protected from unauthorised access, Checking data against its source to ensure accuracy, Organising data in a structured format, Encrypting data for transmission over networks, What does double-entry verification involve?, Verifying data by comparing it to another source, Entering data twice by two different users for accuracy checking, Encrypting data to prevent unauthorized access, Converting data into a readable format, True or False: Data verification is typically performed after data entry to ensure accuracy and completeness., True, False, Which of the following is an example of a field check?, Comparing two sets of data for consistency, Checking if a numeric field contains only numeric characters, Ensuring that data is stored in a secure location, Backing up data regularly to prevent loss, What is the primary goal of data validation and verification?, To ensure data is accurate, complete, and consistent, To encrypt data for secure transmission, To store data in a centralised database, To organise data for easy retrieval and analysis, Which of the following is NOT a common method of data verification?, Double-entry verification, Field check, Proofreading, Batch processing.
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Data Validation and Verification Rules
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Suzannesvennson
Secondary
Computing
Databases
Testing and Debugging
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