Final answer:
Denormalization can be desirable when performance takes priority over data anomalies. It involves combining multiple tables into a single table to reduce the number of joins required to retrieve data. Therefore the correct answer is d.) we may want to prioritize performance rather than data anomalies.
Step-by-step explanation:
One possible reason why we may want to denormalize our database is d.) we may want to prioritize performance rather than data anomalies. Denormalization involves combining multiple tables into a single table, which can improve performance by reducing the number of joins required to retrieve data. While this can lead to redundancy and data anomalies, in cases where performance is a critical factor, denormalization can be a valid choice. One example is in data warehousing, where denormalization is often used to optimize query performance.