Deck 8: Structuring System Data Requirements
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Unlock Deck
Sign up to unlock the cards in this deck!
Unlock Deck
Unlock Deck
1/122
Play
Full screen (f)
Deck 8: Structuring System Data Requirements
1
An entity instance is a single occurrence of an entity type.
True
2
Use a verb or verb phrase to name an entity.
False
3
An ellipse represents an entity on an entity-relationship diagram.
False
4
An entity is a person,place,object,event,or concept in the user environment about which the organization wishes to maintain data.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
5
The names of data stores on primitive-level data flow diagrams often correspond to the names of data entities in entity-relationship diagrams.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
6
A primary key should be null.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
7
Social security number,last name,and first name are entity types.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
8
Employee identification number,name,address,and skill are attributes.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
9
The purpose of the conceptual data model is to show as many rules about the meaning and interrelationships among data as possible.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
10
Processes,rather than data,are the most complex aspects of many modern information systems.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
11
An order number is a good example of a candidate key.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
12
A faculty identification number can serve as an identifier.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
13
The top-down approach to data modeling derives the business rules for a data model from an intimate understanding of the nature of the business.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
14
Book,supplier,and state are entity types.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
15
The characteristics of data captured during data modeling are crucial in the design of databases,programs,computer screens,and printed reports.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
16
A deliverable from conceptual data modeling is a set of entries about data objects to be stored in the project dictionary or repository.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
17
The primary deliverable from the conceptual data modeling step within the analysis phase is an entity-relationship diagram.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
18
The bottom-up approach to data modeling derives a data model by reviewing specific business documents.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
19
In order to determine the integrity rules,minimum and maximum cardinality,and time dimensions of data,an analyst might ask,"Are values for data characteristics limited in any way?"
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
20
A true data entity will have many possible instances,each with a distinguishing characteristic,as well as one or more other descriptive pieces of data.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
21
Cardinality is the number of instances of entity B that can (or must)be associated with each instance of entity A.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
22
An identifier is a candidate key that has been selected as the unique,identifying characteristic for an entity type.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
23
A plural relationship is a relationship that the data modeler chooses to model as entity type.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
24
Relationships are labeled with verb phrases.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
25
A join is an association between the instances of one or more entity types that is of interest to the organization.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
26
The minimum cardinality of a relationship is the minimum number of instances of entity B that may be associated with each instance of entity A.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
27
A unary relationship is the most common type of relationship encountered in data modeling.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
28
A multivalued attribute is an attribute that may take on more than one value for each entity instance.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
29
The goal of conceptual data modeling is to capture as much of the meaning of data as possible.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
30
A ternary relationship is the equivalent of three binary relationships.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
31
Analysts should substitute single-attribute surrogate keys for large composite keys.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
32
On an entity relationship diagram,total specialization is shown by a single line from the supertype to the subtype.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
33
A ternary relationship is a relationship between the instances of one entity type.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
34
When selecting an identifier,one should choose a candidate key that will not change its value over the life of each instance of the entity type.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
35
Referencing an employee entity,an employee's skills are a multivalued attribute.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
36
A repeating group is a set of two or more multivalued attributes that are logically related.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
37
Conceptual data modeling for an Internet-based electronic commerce application differs significantly from the process followed when analyzing the data needs for other types of applications.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
38
One way to handle repeating data within an entity is to separate the repeating data into another entity,called a weak entity.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
39
Analysts should use intelligent keys as identifiers.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
40
A relationship must be turned into an associative entity when the associative entity has other relationships with entities besides the relationship that caused its creation.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
41
Domains are constraints on valid values for attributes.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
42
An E-R model with attributes is prepared during:
A)design
B)project identification and selection
C)analysis
D)project initiation and planning
A)design
B)project identification and selection
C)analysis
D)project initiation and planning
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
43
Triggers are constraints on valid values for attributes.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
44
Domains are other business rules that protect the validity of attribute values.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
45
Some systems developers believe that a data model is the most important part of the statement of information system requirements because:
A)the characteristics of data captured during data modeling are crucial in the design of databases,programs,computer screens,and printed reports
B)data rather than processes are the most complex aspects of many modern information systems and thus require a central role in structuring system requirements
C)the characteristics about data are reasonably permanent
D)all of the above
A)the characteristics of data captured during data modeling are crucial in the design of databases,programs,computer screens,and printed reports
B)data rather than processes are the most complex aspects of many modern information systems and thus require a central role in structuring system requirements
C)the characteristics about data are reasonably permanent
D)all of the above
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
46
The three main constructs of the entity-relationship modeling notation include each of the following except:
A)data entities
B)data flows
C)relationships
D)attributes
A)data entities
B)data flows
C)relationships
D)attributes
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
47
Universal data models and industry-specific data models are two types of packaged conceptual data models.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
48
Business rules are specifications that preserve the integrity of the physical data model.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
49
Referential integrity constraints are rules concerning the relationships between entity types.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
50
Process,logic,and data model descriptions of a system must be consistent and complete because:
A)they each describe different but complementary views of the same information system
B)they are prepared during the analysis phase
C)they are constructed in parallel by separate analyst teams
D)programming tasks require the integration of the information contained in the diagrams
A)they each describe different but complementary views of the same information system
B)they are prepared during the analysis phase
C)they are constructed in parallel by separate analyst teams
D)programming tasks require the integration of the information contained in the diagrams
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
51
Conceptual data modeling is typically done in parallel with other requirements analysis and structuring steps during:
A)logical design
B)physical design
C)analysis
D)implementation
A)logical design
B)physical design
C)analysis
D)implementation
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
52
Which of the following is a true statement?
A)Data characteristics are dynamic.
B)A data model explains the transient form of an organization.
C)An information system design based on a data orientation,rather than a process or logic orientation,should have a longer useful life.
D)Data flow paths are permanent.
A)Data characteristics are dynamic.
B)A data model explains the transient form of an organization.
C)An information system design based on a data orientation,rather than a process or logic orientation,should have a longer useful life.
D)Data flow paths are permanent.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
53
Triggering operations are other business rules that protect the validity of attribute values.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
54
The most common format used for data modeling is:
A)state-transition diagramming
B)entity-relationship diagramming
C)process modeling
D)decision table diagramming
A)state-transition diagramming
B)entity-relationship diagramming
C)process modeling
D)decision table diagramming
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
55
Entity integrity means each instance of an entity type must have a unique identifier that is not null.
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
56
During requirements structuring:
A)an E-R model represents conceptual data requirements for a particular system
B)the conceptual E-R data model is refined before it is translated into a logical format from which database definition and physical database design are done
C)an enterprise-wide data model with very broad categories of data and little detail is prepared
D)a specific E-R model is built to help explain the scope of a particular systems analysis and design effort
A)an E-R model represents conceptual data requirements for a particular system
B)the conceptual E-R data model is refined before it is translated into a logical format from which database definition and physical database design are done
C)an enterprise-wide data model with very broad categories of data and little detail is prepared
D)a specific E-R model is built to help explain the scope of a particular systems analysis and design effort
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
57
The data modeling perspective that derives the business rules for a data model from an intimate understanding of the nature of the business,rather than from any specific information requirements in screens,reports,or business forms,is referred to as the:
A)top-down approach
B)bottom-up approach
C)overview approach
D)business approach
A)top-down approach
B)bottom-up approach
C)overview approach
D)business approach
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
58
A detailed,logical representation of the entities,associations,and data elements for an organization or business area defines:
A)entity-relationship diagram
B)conceptual model
C)entity-relationship model
D)data flow diagram
A)entity-relationship diagram
B)conceptual model
C)entity-relationship model
D)data flow diagram
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
59
A person,place,object,event,or concept in the user environment about which the organization wishes to maintain data refers to a(n):
A)attribute
B)data element
C)relationship
D)entity
A)attribute
B)data element
C)relationship
D)entity
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
60
The primary deliverable from the conceptual modeling step within the analysis phase is a(n):
A)state-transition diagram
B)E-R diagram
C)context data flow diagram
D)decision tree
A)state-transition diagram
B)E-R diagram
C)context data flow diagram
D)decision tree
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
61
Which of the following specifies that an entity instance can simultaneously be a member of two (or more)subtypes?
A)total specialization rule
B)partial specialization rule
C)disjoint rule
D)overlap rule
A)total specialization rule
B)partial specialization rule
C)disjoint rule
D)overlap rule
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
62
A subgrouping of the entities in an entity type that is meaningful to the organization and that shares common attributes or relationships distinct from other subgroupings best defines:
A)child node
B)disjoined entity
C)subtype
D)supertype
A)child node
B)disjoined entity
C)subtype
D)supertype
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
63
An attribute (or combination of attributes)that uniquely identifies each instance of an entity type defines:
A)data element occurrence
B)trigger
C)candidate key
D)gerund
A)data element occurrence
B)trigger
C)candidate key
D)gerund
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
64
If each employee can have more than one skill,then SKILL is referred to as a:
A)gerund
B)multivalued attribute
C)nonexclusive attribute
D)repeating attribute
A)gerund
B)multivalued attribute
C)nonexclusive attribute
D)repeating attribute
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
65
When selecting an identifier,one should:
A)use intelligent keys
B)use large composite keys instead of single-attribute surrogate keys
C)choose a candidate key that will not change its value over the life of each instance of the entity type
D)choose a candidate key such that for each instance of the entity,the attribute is guaranteed to have valid values or is null
A)use intelligent keys
B)use large composite keys instead of single-attribute surrogate keys
C)choose a candidate key that will not change its value over the life of each instance of the entity type
D)choose a candidate key such that for each instance of the entity,the attribute is guaranteed to have valid values or is null
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
66
If STUDENT and COURSE participate in a relationship,their relationship is a(n):
A)unary relationship
B)binary relationship
C)ternary relationship
D)extraordinary relationship
A)unary relationship
B)binary relationship
C)ternary relationship
D)extraordinary relationship
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
67
A relationship that the data modeler chooses to model as an entity type best defines:
A)recursive relationship
B)associative entity
C)domain
D)complex relationship
A)recursive relationship
B)associative entity
C)domain
D)complex relationship
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
68
A simultaneous relationship among instances of three entity types is a:
A)unary relationship
B)binary relationship
C)ternary relationship
D)multiple occurrence
A)unary relationship
B)binary relationship
C)ternary relationship
D)multiple occurrence
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
69
A set of two or more multivalued attributes that are logically related defines:
A)relationship
B)gerund
C)repeating group
D)class
A)relationship
B)gerund
C)repeating group
D)class
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
70
The number of instances of entity B that can (or must)be associated with each instance of entity A refers to:
A)cardinality
B)domain
C)ternary occurrence
D)participation level
A)cardinality
B)domain
C)ternary occurrence
D)participation level
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
71
A collection of entities that share common properties or characteristics defines:
A)entity type
B)entity instance
C)entity occurrence
D)entity collection
A)entity type
B)entity instance
C)entity occurrence
D)entity collection
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
72
For each entity,the name of the identifier is:
A)identified by using a double-lined ellipse
B)underlined on an E-R diagram
C)bold on an E-R diagram
D)written in all capital letters on an E-R diagram
A)identified by using a double-lined ellipse
B)underlined on an E-R diagram
C)bold on an E-R diagram
D)written in all capital letters on an E-R diagram
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
73
An association between the instances of one or more entity types that is of interest to the organization best defines:
A)occurrence
B)relationship
C)coupling
D)cardinality
A)occurrence
B)relationship
C)coupling
D)cardinality
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
74
If entity B is a mandatory participant,then:
A)the minimum cardinality of the relationship is two
B)the minimum cardinality of the relationship cannot be defined
C)the minimum cardinality of the relationship is one
D)the minimum cardinality of the relationship is optional
A)the minimum cardinality of the relationship is two
B)the minimum cardinality of the relationship cannot be defined
C)the minimum cardinality of the relationship is one
D)the minimum cardinality of the relationship is optional
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
75
The minimum number of instances of entity B that may be associated with each instance of entity A defines the:
A)degree of the relationship
B)minimum cardinality of the relationship
C)maximum cardinality of the relationship
D)domain of the relationship
A)degree of the relationship
B)minimum cardinality of the relationship
C)maximum cardinality of the relationship
D)domain of the relationship
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
76
A single occurrence of an entity type defines:
A)entity instance
B)entity appearance
C)attribute
D)data element
A)entity instance
B)entity appearance
C)attribute
D)data element
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
77
A named property or characteristic of an entity that is of interest to the organization defines:
A)attribute
B)relationship
C)instance
D)gerund
A)attribute
B)relationship
C)instance
D)gerund
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
78
Which of the following specifies that each entity instance of the supertype must be a member of some subtype in the relationship?
A)total specialization rule
B)partial specialization rule
C)disjoint rule
D)overlap rule
A)total specialization rule
B)partial specialization rule
C)disjoint rule
D)overlap rule
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
79
A candidate key that has been selected as the unique,identifying characteristic for an entity type is called a(n):
A)attribute
B)identifier
C)secondary key
D)gerund
A)attribute
B)identifier
C)secondary key
D)gerund
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck
80
An attribute that may take on more than one value for each entity instance is referred to as a:
A)gerund
B)multivalued attribute
C)nonexclusive attribute
D)supertype
A)gerund
B)multivalued attribute
C)nonexclusive attribute
D)supertype
Unlock Deck
Unlock for access to all 122 flashcards in this deck.
Unlock Deck
k this deck