To answer this question, you need to understand the concepts of normalization and denormalization in the context of database design.
In database design, normalization is the process of organizing data in a database to eliminate redundancy and improve data integrity. It involves breaking down a database into smaller, more manageable tables and establishing relationships between them.
On the other hand, denormalization is the process of combining tables or adding redundant data to improve query performance. It can be done to simplify complex queries and reduce the need for joins between multiple tables.
A fact table is a central table in a star schema or snowflake schema that stores the measurements or metrics of a business process. It typically contains foreign keys that reference dimension tables and numerical measures that represent the business metrics.
The correct answer is C) Completely normalized. Fact tables are typically completely normalized to eliminate data redundancy and ensure data integrity. This means that the fact table adheres to the principles of normalization and does not contain any redundant or duplicated data.