Create Validation and Verification

What is the purpose of data validation techniques?

• To increase data redundancy

• The purpose of data validation techniques is to ensure data integrity, accuracy, and consistency.

• To slow down data processing

• To confuse users with irrelevant information

Explain the presence check validation technique.

• Presence check validation is a technique to increase data redundancy

• Presence check validation is only applicable to non-essential data

• Presence check validation is used to encrypt data

• Presence check validation ensures that essential data is not missing and helps maintain data integrity.

How does a range check help in data validation?

• A range check randomly assigns values to a field without validation.

• A range check validates data by converting it to a different data type.

• A range check allows any value to be accepted without any restrictions.

• A range check sets limits on the acceptable values for a particular field, helping to validate data by restricting it to a defined range.

Describe the type check validation technique.

• Type check validation technique is used to validate email addresses

• Type check validation technique is a process of verifying the data type of input values to ensure they match the expected type before processing.

• Type check validation is a process of verifying the data integrity of input values

• Type check validation involves checking the spelling of input values

What is the significance of length check in data validation?

• Length check ensures data validation by verifying the shape of input data

• Length check ensures data accuracy and completeness by verifying the length of input data against specified criteria.

• Length check ensures data completeness by verifying the weight of input data

• Length check ensures data accuracy by verifying the color of input data

Explain the concept of format check in validation.

• Format check in validation is only necessary for text data, not numerical data.

• Format check in validation is not important and can be skipped in the validation process.

• Format check in validation is the process of converting data into a different format.

• Format check in validation is the process of ensuring that the data input conforms to a specified format or structure, such as date format, email format, or numerical format, as defined by the validation rules.

How does a check digit contribute to data validation?

• A check digit contributes to data validation by increasing the likelihood of errors

• A check digit contributes to data validation by adding unnecessary complexity

• A check digit contributes to data validation by randomly altering the data

• A check digit contributes to data validation by providing a way to verify the accuracy of the data input or transmitted.

Describe the process of lookup check in validation.

• Lookup check is only used for numerical data validation.

• The process of lookup check in validation includes comparing the input data against a reference dataset to confirm its existence and correctness.

• Lookup check is a process of randomly selecting data points for validation.

• Lookup check involves encrypting the input data for validation purposes.

What is the importance of consistency check in data validation?

• Consistency check only slows down the data validation process

• Consistency check can be bypassed without affecting data quality

• Consistency check is not necessary for data validation

• Consistency check is crucial in data validation to maintain data integrity and quality.

Explain the limit check validation technique.

• Limit check validation technique is a method used to validate data by checking if it falls within a predefined range or limit.

• Limit check validation is used to validate data by checking if it exceeds a predefined range

• Limit check validation is a method to validate data by checking if it is in alphabetical order

• Limit check validation is a technique to validate data by checking if it contains special characters