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Data validation is the process of a. preventing errors due to invalid data b. preventing errors due to incorrect Transact-SQL syntax c. trapping SQL Server errors so the user doesn’t see the system error message d. using the THROW statement to raise a custom error message

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Answer:

The correct answer to the following question will be "Option A".

Explanation:

Data validation seems to be an important part of every data managing mission unless you are in that area of information or data collection, data processing or planning to deliver the information to stakeholders.

  • Validation could be viewed as something of an integral component of your process instead of as a further move.
  • If your data set isn't correct from the beginning, then your outcomes will undoubtedly not be correct either. That's why the data needs to be checked or tested until it becomes used.

The other three options are not related to the given topic. So Option A is the right answer.

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