Rejuvenation Anomaly occurs when:AThere is additional empty dataBData is changed but not completelyCData is lost when deleted

Understanding Rejuvenation Anomaly

The concept of Rejuvenation Anomaly generally refers to issues that arise during data management, particularly in databases and systems handling data updates, deletions, or additions. In databases, this anomaly can occur under specific circumstances when attempting to refresh or manage existing data records.

Analyzing the Options

1. Additional Empty Data: This option suggests that the presence of empty data entries could lead to anomalies. While empty data can cause issues in data integrity, it does not specifically define the rejuvenation anomaly.

2. Data is Changed but Not Completely: This option indicates a situation where data fails to be fully updated. Incomplete updates can lead to inconsistencies within the dataset, which aligns more closely with the concept of data anomalies, including rejuvenation anomalies.

3. Data is Lost When Deleted: This option talks about data loss during deletions. While data loss can be problematic, it doesn’t specifically pertain to rejuvenation as it does not imply a failure to update previous records.

Conclusion

Given the analysis of the options, the most relevant answer to the Rejuvenation Anomaly is B: Data is changed but not completely. This option best encapsulates the core issue associated with the failure to fully update records, which can lead to data inconsistency and integrity problems.