Which data quality dimension measures whether records are free of duplicates?

Which data quality dimension measures whether records are free of duplicates?

• A. Accuracy
• B. Completeness
• C. Uniqueness
• D. Timeliness

Answer: (C)

This item is about preventing duplicate records in a dataset. Uniqueness is the data quality dimension that ensures each record is distinct and that no real-world entity is represented more than once in the data. When duplicates exist, counts and analyses can be seriously biased, and processes like merges or joins can produce incorrect results. Accuracy is about whether the data values are correct, completeness about having all required fields, and timeliness about data being current. Because the question specifically asks about whether records are free of duplicates, Uniqueness is the best fit.

This item is about preventing duplicate records in a dataset. Uniqueness is the data quality dimension that ensures each record is distinct and that no real-world entity is represented more than once in the data. When duplicates exist, counts and analyses can be seriously biased, and processes like merges or joins can produce incorrect results. Accuracy is about whether the data values are correct, completeness about having all required fields, and timeliness about data being current. Because the question specifically asks about whether records are free of duplicates, Uniqueness is the best fit.