Explain, using examples, why validation andverification do not ensure that data is correct.
Question
Explain, using examples, why validation and verification do not ensure that data is correct.
Solution
Validation and verification are two methods used to check that data is accurate and correct. However, they do not necessarily guarantee that the data is correct. Here's why:
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Validation: This is a process that checks if the data meets certain criteria or requirements. For example, if you're entering an email address into a form, the system might validate that the data entered is in the correct format (i.e., it includes an '@' symbol and a domain). However, this doesn't ensure that the email address is correct or exists. You could enter "[email protected]", and it would pass the validation check because it's in the correct format, but it's not a correct or real email address.
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Verification: This is a process that checks if the data matches or corresponds with the original source or other data. For example, if you're entering a password, the system might verify that the password you've entered matches the password on file. However, this doesn't ensure that the password is correct in the sense that it's the password you intended to enter. You could accidentally enter "password1" when you meant to enter "password2", and if "password1" matches the password on file, it would pass the verification check. But it's not the correct password you intended to enter.
In conclusion, while validation and verification are important steps in ensuring data accuracy, they do not guarantee that data is correct. They can only ensure that data meets certain criteria or matches certain data, but they can't ensure that the data is correct in all senses of the word.
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What is the purpose of data validation?Review LaterEnhancing data qualityRemoving inconsistencies from dataEnsuring data accuracyMonitoring data continuously
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Validation helps in finding the balance between underfitting and overfitting, optimizing a model's performance.Review LaterTrueFalse
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If the data is invalid, it will return a nice and clear error, indicating exactly where and what was the incorrect data.
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