Exam 2: Modeling Data in the Organization
Exam 1: The Database Environment and Development Process116 Questions
Exam 2: Modeling Data in the Organization103 Questions
Exam 3: The Enhanced E-R Model103 Questions
Exam 4: Logical Database Design and the Relational Model102 Questions
Exam 5: Physical Database Design and Performance103 Questions
Exam 6: Introduction to SQL105 Questions
Exam 7: Advanced SQL107 Questions
Exam 8: Database Application Development105 Questions
Exam 9: Data Warehousing103 Questions
Exam 10: Data Quality and Integration105 Questions
Exam 11: Big Data and Analytics102 Questions
Exam 12: Data and Database Administration110 Questions
Exam 13: Distributed Databases100 Questions
Exam 14: Object-Oriented Data Modeling105 Questions
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While business rules are not redundant, a business rule can refer to another business rule.
(True/False)
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A cardinality constraint tells what kinds of properties are associated with an entity.
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Some examples of attributes are: eye_color, weight, student_id, STUDENT.
(True/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.
(True/False)
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Which of the following is NOT a good characteristic of a data name?
(Multiple Choice)
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An attribute that can be broken down into smaller parts is called a(n) ________ attribute.
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What is the difference between an entity type and an entity instance?
(Essay)
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An entity type on which a strong entity is dependent is called a covariant entity.
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When choosing an identifier, choose one that will not change its value often.
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One of the roles of a database analyst is to identify and understand rules that govern data.
(True/False)
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An attribute that can be calculated from related attribute values is called a ________ attribute.
(Multiple Choice)
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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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The relationship between a weak entity type and its owner is an identifying relationship.
(True/False)
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The logical representation of an organization's data is called a(n):
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In an E-R diagram, an associative entity is represented by a rounded rectangle.
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An example of a term would be the following sentence: "A student registers for a course."
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