Which statement correctly describes the purpose of the first three normal forms (1NF, 2NF, 3NF) in relational database normalization?

Prepare for the 241 Computer Science Certification Exam with comprehensive flashcards and multiple choice questions. Enhance knowledge with explanations and hints to excel in your test journey!

Multiple Choice

Which statement correctly describes the purpose of the first three normal forms (1NF, 2NF, 3NF) in relational database normalization?

Explanation:
At the heart of normalization is organizing data so that each fact is stored once and only where it belongs, reducing redundancy and update anomalies. The first step makes sure every value in a column is atomic—that is, not a list or set of values—and that each row is uniquely identifiable. This eliminates repeating groups, so the table represents a single, consistent relation. Building on that, the second form addresses how attributes relate to the key when the key is composed of multiple parts. If a non-key attribute depends only on part of that composite key, you’ve got a partial dependency. Removing those by splitting the data so that the attribute depends on the whole key aligns with the goal of ensuring each fact is stored with the appropriate key context. The third form tightens this further by removing dependencies where a non-key attribute depends on another non-key attribute rather than directly on the key. These transitive dependencies can still lead to anomalies, so eliminating them keeps non-key attributes firmly tied to the primary key. So the sequence described—eliminating repeating groups, removing partial dependencies on a composite key, and then removing transitive dependencies—correctly captures the purpose of the first three normal forms.

At the heart of normalization is organizing data so that each fact is stored once and only where it belongs, reducing redundancy and update anomalies. The first step makes sure every value in a column is atomic—that is, not a list or set of values—and that each row is uniquely identifiable. This eliminates repeating groups, so the table represents a single, consistent relation.

Building on that, the second form addresses how attributes relate to the key when the key is composed of multiple parts. If a non-key attribute depends only on part of that composite key, you’ve got a partial dependency. Removing those by splitting the data so that the attribute depends on the whole key aligns with the goal of ensuring each fact is stored with the appropriate key context.

The third form tightens this further by removing dependencies where a non-key attribute depends on another non-key attribute rather than directly on the key. These transitive dependencies can still lead to anomalies, so eliminating them keeps non-key attributes firmly tied to the primary key.

So the sequence described—eliminating repeating groups, removing partial dependencies on a composite key, and then removing transitive dependencies—correctly captures the purpose of the first three normal forms.

Subscribe

Get the latest from Passetra

You can unsubscribe at any time. Read our privacy policy