Design of DB Ch. 1 & 2

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108 Terms

1
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One application of data warehouses is:

decision support.

2
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Data processed in a way that increases a user's knowledge is:

information.

3
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All of the following are properties of metadata EXCEPT:

processing logic.

4
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Program-data dependence is caused by:

file descriptors being stored in each application.

5
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Organizations that utilize the file processing approach spend as much as ________ of their IS development budget on maintenance.

80 percent

6
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A person, place, an object , an event or concept about which the organization wishes to maintain data is called a(n):

entity.

7
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Relational databases establish the relationships between entities by means of common fields included in a file called a(n):

relation.

8
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A(n) ________ is often developed by identifying a form or report that a user needs on a regular basis.

user view

9
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________ is a tool even non-programmers can use to access information from a database.

Structured query language

10
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The most common source of database failures in organizations is:

failure to implement a strong database administration function.

11
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In a file processing environment, descriptions for data and the logic for accessing the data are built into:

application programs.

12
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Which of the following is NOT a cost and/or risk of the database approach?

Improved responsiveness

13
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A knowledge base of information on facts about an enterprise is called a(n):

repository.

14
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A centralized knowledge base of all data definitions, data relationships, screen and report formats, and other system components is called a(n):

repository.

15
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Languages, menus, and other facilities by which users interact with the database are collectively called a(n):

user interface

16
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The traditional methodology used to develop, maintain and replace information systems is called the:

Systems Development Life Cycle.

17
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The SDLC phase in which database processing programs are created is the ________ phase.

implementation

18
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Organizing the database in computer disk storage is done in the ________ phase.

design

19
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One of the most popular RAD methods is:

prototyping.

20
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________ analyze the business situation and identify the need for information and information services to meet the problems or opportunities of the business.

Systems analysts

21
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E. F. Codd developed the relational model in the:

1970s.

22
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A workgroup database is stored on a central device called a(n):

server.

23
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The logical representation of an organization's data is called a(n):

entity-relationship model

24
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A good data definition will describe all of the characteristics of a data object EXCEPT

who can delete the data.

25
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A fact is an association between two or more:

terms.

26
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Data modeling may be the most important part of the systems development process because:

data characteristics are important in the design of programs and other systems components.

27
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The most common types of entities are:

strong entities.

28
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In an E-R diagram, there are/is ________ business rule(s) for every relationship.

two

29
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Business policies and rules govern all of the following EXCEPT

managing employees.

30
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A ________ defines or constrains some aspect of the business.

business rule

31
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Which of the following is NOT a characteristic of a good business rule?

Inconsistent

32
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Which of the following is NOT a good characteristic of a data name?

Relates to a technical characteristic of the system

33
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Customers, cars, and parts are examples of:

entities.

34
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Which of the following is an entity that exists independently of other entity types?

Strong

35
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An entity type whose existence depends on another entity type is called a ________ entity.

weak

36
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The following figure shows an example of:

B) a strong entity and its associated weak entity.

37
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A(n) ________ is the relationship between a weak entity type and its owner.

identifying relationship

38
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An entity type name should be all of the following EXCEPT

as short as possible.

39
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A property or characteristic of an entity type that is of interest to the organization is called a(n):

attribute.

40
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An attribute that must be present for every entity (or relationship) instance is a(n):

required attribute.

41
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A person's name, birthday, and social security number are all examples of:

attributes.

42
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An attribute of an entity that is computed is a(n):

derived attribute.

43
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An attribute that can be broken down into smaller parts is called a(n) ________ attribute.

composite

44
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The number of entity types that participate in a Unary relationship is:

one.

45
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The number of entity types that participate in a relationship is called the:

degree.

46
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A relationship between the instances of a single entity type is called a ________ relationship.

unary

47
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In the following diagram, what type of relationship is depicted?

C) Ternary

48
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In the following diagram, which is true?

It depicts a many-to-many relationship.

49
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A simultaneous relationship among the instances of three entity types is called a ________ relationship

ternary

50
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The following figure shows an example of:

a composite attribute.

51
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In the figure below, which attribute is multivalued?

C) Skill

52
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In the figure below, which attribute is derived?

Years_Employed

53
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An attribute that can be calculated from related attribute values is called a ________ attribute.

derived

54
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The total quiz points for a student for an entire semester is a(n) ________ attribute

derived

55
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Which of the following criteria should be considered when selecting an identifier?

Choose an identifier that doesn't have large composite attributes.

56
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An attribute that uniquely identifies an entity and consists of a composite attribute is called a(n):

composite identifier.

57
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An entity that associates the instances of one or more entity types and contains attributes peculiar to the relationships is called a(n):

associative entity.

58
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A ________ specifies the number of instances of one entity that can be associated with each instance of another entity.

cardinality constraint

59
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A relationship where the minimum and maximum cardinality are both one is a(n) ________ relationship.

mandatory one

60
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A mutually exclusive relationship is one in which:

an entity instance can participate in only one of several alternative relationships.

61
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A student can attend five classes, each with a different professor. Each professor has 30 students. The relationship of students to professors is a ________ relationship.

many-to-many

62
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A value that indicates the date or time of a data value is called a:

time stamp.

63
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The E-R model is used to construct a conceptual model

t

64
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A business rule is a statement that defines or constrains some aspect of the business

t

65
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One of the roles of a database analyst is to identify and understand rules that govern data

t

66
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The intent of a business rule is to break down business structure

f

67
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Enforcement of business rules can be automated through the use of software that can interpret the rules and enforce them.

t

68
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A business rule is a statement of how a policy is enforced or conducted

f

69
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While business rules are not redundant, a business rule can refer to another business rule.

t

70
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A business rule should be internally consistent.

t

71
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Business rules are formulated from a collection of business ramblings. .

f

72
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Data names should always relate to business characteristics.

t

73
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An example of a term would be the following sentence: "A student registers for a course."

f

74
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A fact is an association between two or more terms.

t

75
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A good data definition is always accompanied by diagrams, such as the entity-relationship diagram.

t

76
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An entity is a person, place, object, event, or concept in the user environment about which the organization wishes to maintain data

t

77
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A single occurrence of an entity type is called an entity instance

t

78
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In the figure below, Name would be an ideal identifier.

f

79
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When choosing an identifier, choose one that will not change its value often

t

80
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Most systems developers believe that data modeling is the least important part of the systems development process.

f

81
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Data, rather than processes, are the most complex aspects of many modern information systems. .

t

82
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Data modeling is about documenting rules and policies of an organization that govern data

t

83
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The purpose of data modeling is to document business rules about processes.

f

84
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In an E-R diagram, strong entities are represented by double-walled rectangles

f

85
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In an E-R diagram, an associative entity is represented by a rounded rectangle

f

86
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Data names do not have to be unique.

f

87
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The relationship between a weak entity type and its owner is an identifying relationship.

t

88
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An entity type on which a strong entity is dependent is called a covariant entity.

f

89
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An entity type name should always be a singular noun.

t

90
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The name used for an entity type should never be the same in other E-R diagrams on which the entity appears.

f

91
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Some examples of attributes are: eye_color, weight, student_id, STUDENT. T

f

92
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A simple attribute can be broken down into smaller pieces.

f

93
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An attribute whose values can be calculated from related attribute values is called a derived attribute.

t

94
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A multivalued attribute may take on more than one value for a particular entity instance.

t

95
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Relationships represent action being taken using a verb phrase

t

96
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Participation in a relationship may be optional or mandatory.

t

97
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A ternary relationship is equivalent to three binary relationships

f

98
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The degree of a relationship is the number of attributes that are associated with it.

f

99
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The relationship between the instances of two entity types is called a binary relationship.

t

100
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The relationship among the instances of three entity types is called a unary relationship. .

t