Modern Database Management – Chapter 2 – Flashcards

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data characteristics are important in the design of programs and other systems components
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Data modeling may be the most important part of the systems development process because:
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entity-relationship model
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The logical representation of an organization's data is called a(n):
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all of the above
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The common types of entities are:
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two
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In an E-R diagram, there are ________ business rule(s) for every relationship
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managing employees
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Business policies and rules govern all of the following EXCEPT:
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all of the above
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A business rule:
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Inconsistent
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Which of the following is NOT a characteristic of a good business rule?
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Relates to a technical characteristic of the system
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Which of the following is NOT a good characteristic of a data name?
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terms
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A fact is an association between two or more:
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who can delete the data
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A good data definition will describe all of the characteristics of a data object EXCEPT:
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entities
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Customers, cars, and parts are examples of:
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None of the above
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Which of the following is an entity type on which a strong entity depends?
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weak
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An entity type whose existence depends on another entity type is called a ________ entity
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identifying relationship
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A(n) ________ is the relationship between a weak entity type and its owner
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as short as possible
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An entity type name should be all of the following EXCEPT:
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attribute
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A property or characteristic of an entity type that is of interest to the organization is called a(n):
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required attribute
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An attribute that must have a value for every entity (or relationship) instance is a(n):
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attributes
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A person's name, birthday, and social security number are all examples of:
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required attribute
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An attribute of an entity that must have a value for each entity instance is a(n):
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composite
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An attribute that can be broken down into smaller parts is called a(n) ________ attribute.
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derived
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An attribute that can be calculated from related attribute values is called a(n) ________ attribute.
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derived
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The total quiz points for a student for an entire semester is a(n) ________ attribute.
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All of the above
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Which of the following criteria should be considered when selecting an identifier?
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composite identifier
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An attribute that uniquely identifies an entity and consists of a composite attribute is called a(n):
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associative entity
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An entity that associates the instances of one or more entity types and contains attributes specific to the relationships is called a(n):
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All of the above.
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Which of the following conditions should exist if an associative entity is to be created?
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degree
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The number of entity types that participate in a relationship is called the:
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unary
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A relationship between the instances of a single entity type is called a(n) ________
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many-to-many
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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.
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cardinality constraint
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A ________ specifies the number of instances of one entity that can be associated with each instance of another entity
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ternary
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A simultaneous relationship among the instances of three entity types is called a(n) ________ relationship
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mandatory one
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A relationship where the minimum and maximum cardinality are both one is a(n) ________ relationship.
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an entity instance can participate in only one of several alternative relationships
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A mutually exclusive relationship is one in which:
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FALSE
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Most systems developers believe that data modeling is the least important part of the systems development process.
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TRUE
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Data, rather than processes, are the most complex aspects of many modern information systems.
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TRUE
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The E-R model is used to construct a conceptual model.
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FALSE
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In an E-R diagram, strong entities are represented by double-walled rectangles.
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TRUE
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In an E-R diagram, an associative entity is represented by a rounded rectangle.
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TRUE
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Data modeling is about documenting rules and policies of an organization that govern data
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TRUE
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One of the roles of a database analyst is to identify and understand rules that govern data.
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FALSE
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The purpose of data modeling is to document business rules about processes.
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TRUE
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A business rule is a statement that defines or constrains some aspect of the business.
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FALSE
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The intent of a business rule is to break down business structure
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TRUE
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Enforcement of business rules can be automated through the use of software tools that can interpret the rules and enforce them.
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FALSE
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When systems are automatically generated and maintained, quality is diminished.
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FALSE
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A business rule is a statement of how a policy is enforced or conducted
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FALSE
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The intent of a business rule is to break down business structure
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TRUE
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Enforcement of business rules can be automated through the use of software tools that can interpret the rules and enforce them
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FALSE
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When systems are automatically generated and maintained, quality is diminished.
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FALSE
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A business rule is a statement of how a policy is enforced or conducted.
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TRUE
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While business rules are not redundant, a business rule can refer to another business rule
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TRUE
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A business rule should be internally consistent
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FALSE
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Business rules are formulated from a collection of business ramblings
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TRUE
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Data names should always relate to business characteristics
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FALSE
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Data names do not have to be unique
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FALSE
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An example of a term would be the following sentence: "A student registers for a course."
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TRUE
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A fact is an association between two or more terms.
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TRUE
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A good data definition is always accompanied by diagrams, such as the entity-relationship diagram
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TRUE
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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.
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TRUE
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A single occurrence of an entity is called an entity instance.
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TRUE
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The relationship between a weak entity type and its owner is an identifying relationship.
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FALSE
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An entity type on which a strong entity is dependent is called a covariant entity.
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TRUE
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An entity type name should always be a singular noun.
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FALSE
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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.
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FALSE
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Some examples of attributes are: eye_color, weight, student_id, student.
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FALSE
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A simple attribute can be broken down into smaller pieces
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TRUE
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An attribute whose values can be calculated from related attribute values is called a derived attribute.
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TRUE
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A multivalued attribute may take on more than one value for a particular entity instance
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TRUE
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When choosing an identifier, choose one that will not change its value often
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TRUE
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It is desirable that no two attributes across all entity types have the same name
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FALSE
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It is not permissible to associate attributes with relationships
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FALSE
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A relationship instance is an association between entity instances where each relationship instance includes exactly one entity from each participating entity type.
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TRUE
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One reason to use an associative entity is if the associative entity has one or more attributes in addition to the identifier
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FALSE
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The degree of a relationship is the number of attributes that are associated with it.
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TRUE
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The relationship between the instances of two entity types is called a binary relationship.
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FALSE
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The relationship among the instances of three entity types is called a unary relationship.
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FALSE
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A cardinality constraint tells what kinds of properties are associated with an entity.
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FALSE
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The maximum criminality of a relationship is the maximum number of instances of entity B that may be associated with each instance of entity A.
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TRUE
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Participation in a relationship may be optional or mandatory.
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FALSE
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A ternary relationship is equivalent to three binary relationships.
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TRUE
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A time stamp is a time value that is associated with a data value.
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TRUE
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Relationships represent action being taken using a verb phrase.
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