This midterm quiz for Database Chapters 4, 5, 7 assesses key concepts in data management including nonkey attributes, primary keys, attribute meanings, and relational merging. It evaluates critical understanding and problem-solving skills in database management.
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False
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Maps
Descriptions
Keys
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True
False
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Trapdoors
Routines
Selects
Updates
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Master query
Subquery
Superquery
Multi-query
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True
False
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Functional dependency
Merged relation
Transitive dependency
Full dependency
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Referential integrity constraint
Entity integrity rule
Partial specialization rule
Range domain rule
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True
False
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True
False
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Brings together data from two different fields
Causes two tables with a common domain to be combined into a single table or view
Causes two disparate tables to be combined into a single table or view
Is used to combine indexing operations
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Foreign key
Composite key
Multivalued key
Cardinal key
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Hashed
Other options werent in PDF
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True
False
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Is used to generate appropriate SQL code on the fly, as an application is processing
Is quite volatile
Creates a less flexible application
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Procedures
Functions
All of the above
None of the above
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First normal form
Second normal form
Boyce-Codd normal form
Third normal form
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Secondary key
Index
Composite key
Linked key
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A transaction consists of just one SQL command
Multiple SQL commands must be run as part of a transaction
Autocommit is set to off
None of the above
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Cluttering
Clustering
Concatenating
Compiling
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Normalization
Horizontal partitioning
Vertical partitioning
File allocation
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Two entities with a one-to-one relationship
A one-to-many relationship
A many-to-many relationship with nonkey attributes
Reference data
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Unary join
Self join
Unnatural join
Pinned join
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Column
Foreign field
Primary key
Duplicate key
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Field
Row
Data type
Column
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True
False
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BIGINT
BIT
MULTISET
XML
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Correlated subquery
Derived table
View table
None of the above
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No primary key attribute can be null
Referential integrity must be maintained across all entities
Each entity must have a primary key
A primary key must have only one attribute
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Hard coded SQL statements included in a program written in another language
SQL encapsulated inside of other SQL statments
SQL written into a front-end application
SQL translated to a lower-level language
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Correlated
Paired
Natural
Inner
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Referential integrity constraint
Key match rule
Entity key group rule
Foreign/primary match rule
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Simplicity
Remote optimization
Extra space and update time
Shorter technology spans
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Checking if data is allergic
Seeing how accurate data are
Checking to see if missing data will greatly impact results
None of the above
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Varchar2
Datetime
Blob
Number
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Knowing the user base
Selecting structures
Deciding on the monitor
All of the above
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Understand how indexes are used in query processing
Use a lot of self-joins
Write simple queries
Retrieve on the data that you need
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