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INFORMATION MANAGEMENT

Total questions: 65

Worksheet time: 36mins

Name
Class
Date
1.

organized collection of logically related data

a)

DATA

b)

INFORMATION

c)

DATABASE

d)

METADATA

2.

stored representations of meaningful objects and events

a)

DATA

b)

INFORMATION

c)

DATABASE

d)

METADATA

3.

data processed to increase knowledge in the person using the data

a)

DATA

b)

INFORMATION

c)

DATABASED

d)

METADATA

4.

data that describes the properties and context of user data

a)

DATA

b)

INFORMATION

c)

DATABASE

d)

METADATA

5.

All programs maintain metadata for each file they use

a)

PROGRAM-DATA DEPENDENCE

b)

LIMITED DATA SHARING

c)

DUPLICATION OF DATA

d)

LENGHTHY DEVELOPMENT TIMES

6.

Different systems/programs have separate copies of the same data

a)

Program-Data Dependence

b)

Limited Data Sharing

c)

Duplication of Data

d)

Excessive Program Maintenance

7.

No centralized control of data

a)

Duplication of Data

b)

Lengthy Development Times

c)

Limited Data Sharing

d)

Excessive Program Maintenance

8.

Programmers must design their own file formats

a)

Lengthy Development Times

b)

Duplication of Data

c)

Program-Data Dependence

d)

Excessive Program Maintenance

9.

80% of information systems budget

a)

Excessive Program Maintenance

b)

Duplication of Data

c)

Lengthy Development Times

d)

Program-Data Dependence

10.

SOLUTION: THE DATABASE APPROACH EXCEPT

a)

Central repository of shared data

b)

Stored in a standardized, convenient form

c)

Data is managed by a controlling agent

d)

Installation and management cost and complexity

11.

Database management system A software system that is used to create, control, and provide controlled access to user databases

a)

TRUE

b)

FALSE

12.

advantages of the database approach (two answer)

a)

- Program-data independence

- Planned data redundancy

- Improved data consistency

b)

- Central repository of shared data

- Data is managed by a controlling agent

- Stored in a standardized, convenient form

c)

- Enforcement of standards

- Improved data quality

- Improved data accessibility and responsiveness

13.

cost and risk of the database approach (more than one answer)

a)

New, specialized personnel

b)

Conversion costs

c)

Installation and management cost and complexity

d)

Organizational conflict

14.

Data models

– Graphical system capturing nature and relationship of data

– Enterprise Data Model–high-level entities and relationships for the organization

– Project Data Model–more detailed view, matching data structure in database or data warehouse

a)

TRUE

b)

FALSE

15.

Entities

– Noun form describing a person, place, object, event, or concept

– Composed of attributes

a)

Data models

b)

Relationships

c)

Entities

d)

Relational Databases

16.

Relational Databases – Database technology involving tables (relations) representing entities and primary/foreign keys representing (a)   .

17.

computer-aided software engineering

a)

Repository

b)

System Developers

c)

Case Tools

18.

Respiratory is acentralized storehouse of data

a)

TRUE

b)

FALSE

19.

DBMS meaning

a)

Database Management System

b)

Data Management System

20.

Database–storehouse of the metadata

a)

TRUE

b)

FALSE

21.

software using the data

a)

Application Programs

b)

System Developers

c)

Data/Database Administrators

d)

End Users

22.

text and graphical displays to users

a)

End Users

b)

System Developers

c)

Repository

d)

User Interface

23.

what are the approaches to database and IS development

a)

SDLC

b)

ALL OF THE ABOVE

c)

RAPID APPLICATION DEVELOPMENT

d)

PROTOTYPING

24.

 

• User Views • Subsets of Conceptual Schema • Can be determined from business-function/data entity matrices • DBA determines schema for different users. is example of (a)  

25.

this is the evolution of (a)  

26.

E-R model constructs

a)

Entities

b)

Attributes

c)

Relationships

d)

all of the above

27.

 

a person, a place, an object, an event, or a concept in the user environment about which the organization wishes to maintain data

a)

entity type

b)

entity

c)

entity instance

d)

attribute

28.

 

A single occurrence of an entity type

a)

Attribute

b)

Entity instance

c)

Entity

d)

All of the above

29.

Composite attribute - An attribute that has meaningful component parts (attributes)

a)

True

b)

False

30.

may take on more than one value for a given entity (or relationship) instance

a)

Multivalued

b)

Derived

31.

Cardinality of relationships

a)

One-to-One

b)

Many-to-Many

c)

One-to-Many

d)

all of the above

32.

Degree of relationships

a)

Unary relationships

b)

Ternary relationship

c)

Binary relationships

33.

 

Degree of relationship

a)

Unary relationships

b)

Ternary relationship

c)

Binary relationships

d)

all of the above

34.

extends original ER model with new modeling constructs

a)

Subtype

b)

Supertype

c)

Enhanced ER model

d)

Attribute Inheritance

35.

A subgrouping of the entities in an entity type that has attributes distinct from those in other subgroupings

a)

Enhanced ER model

b)

Subtype

c)

Supertype

d)

Attribute Inheritance

36.

Generalization: The process of defining a more general entity type from a set of more specialized entity types. TOP-DOWN

a)

true

b)

false

37.

Specialization: The process of defining one or more subtypes of the supertype and forming supertype/subtype relationships. BOTTOM-UP

a)

TRUE

b)

FALSE

38.

Yes (double line) - A rule that specifies that each entity instance of a supertype must be a member of some subtype in the relationship.

a)

Total Specialization Rule

b)

Partial Specialization Rule

39.

No (single line) - A rule that specifies that an entity instance of a supertype is allowed not to belong to any subtype.

a)

Total Specialization Rule

b)

Partial Specialization Rule

40.

Whether an instance of a supertype may simultaneously be a member of two (or more) subtypes

a)

Disjoint Rule

b)

Overlap Rule

c)

Disjointness Constraints

d)

All of the above

41.

a simple attribute with alternative values to indicate the possible subtypes

a)

Disjoint Rule

b)

Disjoint

c)

Disjointness Constraints

42.

Whether an instance of a supertype must also be a member of at least one subtype

a)

Subtype Discriminator

b)

Disjointness Constraints

c)

Completeness Constraints

d)

All of the above

43.

a composite attribute whose subparts pertain to different subtypes. Each subpart contains a Boolean value to indicate whether or not the instance belongs to the associated subtype

a)

Disjoint

b)

Overlapping

44.

Set of one or more entity types and associated relationships grouped into a single abstract entity type

a)

Solution

b)

Entity cluster

45.

The relational data model represents data in the form of choices.

a)

TRUE

b)

FALSE

46.

Tables (relations), rows, columns

a)

Data structure

b)

Data integrity

c)

Data manipulation

d)

All of the above

47.

Powerful SQL operations for retrieving and modifying data

a)

Data structure

b)

Data integrity

c)

Data manipulation

48.

 

A (a)   key is an attribute or a combination of attributes that uniquely identifies each row in a relation

49.

A (a)   key is an attribute (possibly composite) in a relation that serves as the primary key of another relation.

50.

Allowable values for an attribute (See Table 4-1). A domain definition usually consists of the following components: domain name, meaning, data type, size (or length), and allowable values or allowable range (if applicable).

a)

Entity Integrity

b)

Domain Constraints

c)

Referential Integrity

51.

 

E-R attributes map directly onto the relation

a)

Multivalued Attribute

b)

Composite attributes

c)

Simple attributes

52.

Use only their simple, component attributes

a)

Simple attributes

b)

Multivalued Attribute

c)

Composite attributes

53.

Becomes a separate relation with a foreign key taken from the superior entity

a)

Simple attributes

b)

Multivalued Attribute

c)

Composite attributes

54.

Data normalization is a Primarily a tool to validate and improve a logical design so that it satisfies certain constraints that avoid unnecessary duplication of data

a)

true

b)

false

55.

adding new rows forces user to create duplicate data

a)

Modification Anomaly

b)

Insertion Anomaly

c)

Deletion Anomaly

56.

deleting rows may cause a loss of data that would be needed for other future rows

a)

Insertion Anomaly

b)

Modification Anomaly

c)

Deletion Anomaly

57.

changing data in a row forces changes to other rows because of duplication

a)

Insertion Anomaly

b)

Modification Anomaly

c)

Deletion Anomaly

58.

Candidate key is an attribute, or combination of attributes, that uniquely identifies a row in a relation.

a)

TRUE

b)

FALSE

59.

Nonredundancy - For every row, the value of the key must uniquely identify that row. This property implies that each nonkey attribute is functionally dependent on that key

a)

TRUE

b)

FALSE

60.

Unique identification - No attribute in the key can be deleted without destroying the property of unique identification

a)

TRUE

b)

FALSE

61.

if new product is ordered for order 1007 of existing customer, customer data must be re-entered, causing duplication

a)

Insertion

b)

Update

c)

Deletion

62.

if we delete the Dining Table from Order 1006, we lose information concerning this item’s finish and price

a)

Insertion

b)

Update

c)

Deletion

63.

changing the price of product ID 4 requires update in multiple records

a)

Insertion

b)

Update

c)

Deletion

64.

Relationships at the subtype level indicate that all subtypes will participate in the relationship

a)

TRUE

b)

FALSE

65.

The instances of a supertype may participate in a relationship unique to that subtype.

a)

TRUE

b)

FALSE