Hierarchical schema
Network schema
Relational Schema
All of the above
A. Hierarchical schema
Instance
Program
Schema
Super Key
Data Flow Document
Data File Diagram
Data Flow Diagram
Non of the above
First normal form.
Second normal form.
Third normal form.
Fourth normal form.
Hierarchic Standard Access Method
Hierarchic Sequential Access Method
Hierarchic Sequential and Method
Hierarchic Standard and Method
Centralized control of data
Data independence
Both A and B
Neither A nor B
B-Tree
graph
Query Tree
directed graph
Clustered
Hashed
Un-clustered
Collision
Vulcanizing
Galvanizing
Magnetizing
Passing UV rays
SQL
System
Nested
None of these
Like
COMPARE
BETWEEN
IN
Data Definition Language .
Meta Language
Procedural query Language
None of the above
It is a physical representation of the data.
It allows many to many relationship.
It is conceptually simple.
It will be the dominant database of the future.
Single global database
Multiple databases
Top-down approach
None of the above
No functional dependencies (FDs) exist.
No multivalued dependencies (MVDs) exist.
No partial FDs exist.
No partial MVDs exist.
Schema
Tuple
Domain
Relational
Predicate calculus
Relational calculus
Relational algebra
SQL
i-only
ii-only
Both of them
None of them
With finer degree of granularity of locking a high degree of concurrency is possible.
Locking prevents non-serializable schedules.
Locking cannot take place at field level.
An exclusive lock on data item X is granted even if a shared lock is already held on X.
Oval; An oval with an underlined attribute
Circle; A circle with bolded attribute inside it
Diamond; A bolded attribute
Square; An attribute within the square
TOTAL
ADD
COUNT
SUM
distinct values
cannot have NULL
both (A) & (B)
same as primary key
BCNF
3NF
PJNF
DKNF
Logical schema.
Physical schema.
Subschema.
None of the above.
Union
Intersection
Cartesian Product
Select
SQL server Profile
SQL server wizard.
SQL server service manager
SQL server setup
jamming
password
documentation
record lock
Functional dependency
Multi-valued dependency
Transitive dependency
Partial dependency
Data Manipulation
Data Definition
Data Control
None
Conceptual, physical and internal
Conceptual, view and external
Logical, physical and internal
Logical, physical and view
A database design may be ambiguous.
It should avoid/reduce the redundancy.
Unrelated data should be in the same table so that updating the data will be easy.
An entity should not have attributes.