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Multiple Choice
A) third normal form
B) first normal form
C) second normal form
D) The table is unnormalized.
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Essay
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True/False
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Multiple Choice
A) select query
B) update query
C) concatenation query
D) atomic query
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Multiple Choice
A) The data is easier to sort, find, and filter.
B) Atomic values prevent deletion anomalies.
C) The data is functionally independent.
D) The data can be organized into repeating groups.
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True/False
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Multiple Choice
A) 1NF
B) 2NF
C) 3NF
D) 4NF
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Multiple Choice
A) conversion anomaly
B) Codd's 12 rules
C) algorithm
D) transitive dependency
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Multiple Choice
A) a piece of data that cannot be meaningfully divided
B) a defined set of steps to solve a problem
C) a characteristic or property of an entity
D) a problem generated when entering, updating, and deleting data
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Multiple Choice
A) increased storage
B) decreased performance
C) inconsistencies in the data
D) decreased time in running queries
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Multiple Choice
A) the foreign key field
B) the primary key field
C) at least one field in a related table
D) an unnormalized relation
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Multiple Choice
A) a column that contains a null value
B) a column that is not part of the foreign key
C) a column that is not part of the primary key
D) a column that does not contain an atomic value
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Multiple Choice
A) the list is not sorted
B) the list contains multiple subjects or topics
C) the list is used for looking up data
D) the list contains atomic values
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Multiple Choice
A) DistanceInMiles, 20
B) Length, 10 feet
C) Time, 1.5
D) Amount, 12 per package
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Multiple Choice
A) ClassID
B) ClassName
C) InstructorNum
D) ClassPrice
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Multiple Choice
A) minimizing redundant data
B) clarifying field names
C) increasing functional independence
D) selecting suitable primary keys
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Multiple Choice
A) This design has no problems.
B) Two employees could be living at the same address.
C) More than one employee could have the same last name.
D) The address will automatically functionally determine the employee's last name.
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Essay
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Multiple Choice
A) Apply algorithms to identify the anomalies.
B) Remove the functional dependencies from the data.
C) Normalize the data by converting a single list into multiple tables.
D) Identify atomic values in the data.
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