Understanding Database Normalization

Viaan is designing a database for his school's library system. What is the purpose of database normalization?

• To simplify database queries by merging tables.

• To increase data redundancy for faster access.

• To enhance the visual representation of data in reports.

• The purpose of database normalization is to reduce data redundancy and improve data integrity.

In a school database, define First Normal Form (1NF) for the student records.

• A table is in First Normal Form (1NF) if it contains only atomic values, each column has unique names, and all entries in a column are of the same data type.

• A table is in First Normal Form (1NF) if it contains nested tables within its columns.

• A table is in First Normal Form (1NF) if it allows duplicate values in a column.

• A table is in First Normal Form (1NF) if it has no restrictions on data types in a column.

Naira is organizing a database for her school project. What are the requirements for a table to be in 1NF?

• A table is in 1NF if it has atomic values, single type per column, unique column names, and order independence.

• A table is in 1NF if it has multiple data types in a single column.

• A table is in 1NF if it allows duplicate column names.

• A table is in 1NF if it contains non-atomic values.

Avni is studying database normalization and wants to understand Second Normal Form (2NF). Can you explain it to her?

• A table is in Second Normal Form (2NF) if it is in First Normal Form (1NF) and all non-key attributes are fully functionally dependent on the primary key.

• A table is in 2NF if it contains only numeric data types.

• A table is in 2NF if it has no duplicate rows.

• A table is in 2NF if all attributes are dependent on any candidate key.

In a school database, Divya is managing student records. What is the significance of removing partial dependencies in 2NF?

• It eliminates redundancy and ensures all non-key attributes depend on the entire primary key.

• It ensures that all attributes are stored in separate tables.

• It allows for multiple primary keys in a relation.

• It increases the number of non-key attributes in a table.

In a database for a school, define Third Normal Form (3NF) in the context of student records.

• A table is in Third Normal Form if all attributes are dependent on each other.

• A table is in First Normal Form if it has no repeating groups.

• A table is in Third Normal Form (3NF) if it is in Second Normal Form and all non-key attributes are functionally dependent only on the primary key.

• A table is in Third Normal Form if it has no foreign keys.

Aisha is designing a database for her school project. What is the main goal of achieving 3NF?

• To ensure all attributes are dependent on the primary key only.

• To allow for more flexible data relationships.

• To eliminate transitive dependencies and reduce data redundancy.

• To increase data redundancy and complexity.

In a university database, Shaan is analyzing the course enrollment data. He wants to ensure that the database is structured properly. Explain Boyce-Codd Normal Form (BCNF) in the context of this database.

• A relation is in Boyce-Codd Normal Form (BCNF) if, for every non-trivial functional dependency, the left-hand side is a superkey.

• A relation is in BCNF if all attributes are functionally dependent on the primary key.

• A relation is in BCNF if it contains only atomic values.

• A relation is in BCNF if it has no transitive dependencies.

In a university database, how does BCNF differ from 3NF when organizing student information?

• BCNF is a stricter form of 2NF, not 3NF.

• BCNF allows non-candidate key determinants, while 3NF does not.

• 3NF requires every determinant to be a candidate key, while BCNF does not.

• BCNF requires every determinant to be a candidate key, while 3NF allows some non-candidate key determinants.

Avni is working on a database for her school project. She needs to optimize the performance of her database. What are some common denormalization techniques she can use?

• Using foreign keys

• Implementing strict data integrity rules

• Common denormalization techniques include adding redundant data, merging tables, creating summary tables, using materialized views, and storing derived or aggregated data.

• Normalizing data structures