Which of the following is an example of data inconsistency that data cleansing aims to address?
- Consistent formatting across data fields
- Duplicated records with conflicting information
- Timely data backups and restores
- Uniform data distribution across databases
An example of data inconsistency that data cleansing aims to address is duplicated records with conflicting information. These duplicates can lead to discrepancies and errors in data analysis and decision-making processes. Data cleansing techniques, such as data deduplication, help identify and resolve such inconsistencies to ensure data integrity and reliability.
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