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The purpose of applying Normal Forms in relational databases is primarily to minimize data redundancy and improve efficiency. Normalization is a systematic approach to organizing data in a database to reduce duplication and ensure data integrity. By structuring data into tables and defining relationships among them, normalization allows the database to eliminate redundant data, which not only saves storage space but also enhances data consistency.

When database tables are normalized into various Normal Forms, they adhere to specific rules that dictate how data should be organized. This helps in ensuring that the same piece of data is stored only once, thus reducing the likelihood of anomalies during data operations like insertion, deletion, or updates. For example, if a customer's information is stored multiple times across several orders, updating just one record can lead to inconsistencies. Normalization addresses this issue.

In addition, improvement in query efficiency is another benefit, as properly normalized databases can reduce the complexity of relationships and enhance the performance of queries. This organized structure makes it easier for database management systems to process requests quickly and efficiently.

While options related to aesthetic value or the elimination of primary keys may seem relevant, they do not align with the core objectives of normalization, which focus on data integrity and efficiency. Similarly, hierarchical structure pertains more to different types of data