Microsoft Certified: Azure Data Fundamentals (DP-900) Practice Test

Normalization is a process used in database management to organize data efficiently. Its primary goal is to minimize redundancy and dependency by structuring the data into tables so that each piece of information is stored only once, thus reducing the amount of duplicated information. This ensures data integrity and consistency across the database.

When a database is normalized, attributes that are logically related are grouped together, and the same data is not stored in multiple places. This minimizes the risk of anomalies during data operations such as insertion, updating, and deletion, since changes need to be made in only one place. Therefore, the correct choice embodies the essence of normalization, which is significantly focused on streamlining data storage and management by eliminating redundancy.

The options related to increasing the number of rows, improving query complexity, and enhancing the intuitive structure don't directly convey the main purpose of normalization. While reduced redundancy might improve the overall effectiveness of data structure, the core achievement of normalization is to mitigate duplication.