Each row of the database table should be unique.

The values are atomic in the database tables.

Each column has a unique name.

The column values are of the same type.

All of the above

This model can have many -to -many relationships among its entities.

This model use SQL language to store the database.

This model does not suffer any insertion anomaly.

This model suffers from deletion anomaly.

Both (2) and (4).

It can allow many-to-many relationships.

The record types can be linked through the circular linked list.

In this model, a child can have only one parent and the parent can have multiple children.

All of the above.

Only (1) and (2).

Data integrity

Operational anomalies

System complexity

Data independence

Both (2) and (3)

Relational database model does not have deletion anomalies.

Network database does not have deletion anomalies.

Network database does not have updation anomalies.

None of the above.

Both (2) and (3).

Improved productivity

Slow implementation

Increased cost

All of the above

Both (2) and (3)

Designing a data model

Data conversion

Generating reports

Programming and testing

All of the above

Diagramming tools

Prototype tools

Project management tools

Code generators

Analysis tools

This tool has data dictionary as a main component.

This is the integrating tools to share the data among the different tools.

This tool is used to automatic generation of reports and the programs.

All of the above.

Only (1) and (2).

The table should be in 2 NF.

The non-prime attributes must be dependent on primary key.

There must be transitive functional dependency to be in 3NF.

All of the above.

Both (1) and (2).

Analysis tool

Code generator

Visual development tool

Central repository tool

Both (2) and (3)

Amount of data duplication is not possible.

Data integrity is achieved.

Less amount of overhead possible.

All of the above.

Both (1) and (2).

First normal form provides the unordered set of data.

Second normal from considers all the non primary columns in the table should depend on the primary key.

Third normal form does not have any transitive dependency.

There are no anomalies possible in data normalization.

None of the above

It creates a set of separate table for each set of data.

It identify each set of related data with a foreign key.

It eliminates the repeating groups of data.

Both (2) and (3).

None of the above

It is a bottom up approach to arrange the entities.

In this, two entities can be treated as single entity.

Specialization follows the ISA approach.

Specialization is opposite of generalization.

Both (1) and (2).

Data dictionary provides the name and description of the data structure.

It provides the database report generation.

It provides easy search for the data type sand keywords.

All of the above.

Both (1) and (3).

There is no bypass integrity rule allowed for the low level access in the system.

This rule defines the database existence in the distributed environment.

This rule maintains the integrity independence of the database.

This rule defines the data storage irrespective of physically independence.

None of the above