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1. Normalization works through a series of stages called normal forms.
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2. Normalization produces a lower normal form.
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3. Normalization is a process that is used for changing attributes to entities.
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4. In order to meet performance requirements, you may have to denormalize portions of the database design.
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5. Denormalization produces a lower normal form.
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6. Normalization is a very important database design ingredient and the highest level is always the most desirable.
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7. A table is in BCNF if every determinant in the table is a candidate key.
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8. A table is in BCNF if every determinant in the table is a foreign key
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9. A table is in fourth normal form if it is in third normal form and has no independent multivalued dependencies.
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10. Relational models view the data as part of a table or collection of tables in which all key values must be identified.
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11. Repeating groups must be eliminated by making sure that each row defines a single entity
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12. Dependency diagrams are very helpful in getting a bird’s-eye view of all the relationships among a table’s attributes.
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13. Dependencies that are based on only a part of a composite primary key are called transitive dependencies.
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14. All relational tables satisfy the 1NF requirements.
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15. With partial dependencies, data redundancies occur because every row entry requires duplication of data.
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16. Converting a database format from 1NF to 2NF is a complex process.
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17. Because a partial dependency can exist only if a table's primary key is composed of several attributes, if a table in 1NF has a single-attribute primary key, then the table is automatically in 2NF.
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18. A table is in 2NF if it is in 1NF and it includes no partial dependencies.
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19. It is possible for a table in 2NF to exhibit transitive dependency, where one or more nonprime attributes functionally determine other nonprime attributes.
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20. A determinant is any attribute whose value determines other values within a column.
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21. A dependency of one nonprime attribute on another nonprime attribute is a partial dependency.
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22. Atomic attributes are attributes that can be further divided
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23. Normalization should be part of the design process.
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24. Normalization represents a micro view of the entities within the ERD.
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25. The combination of normalization and ER modeling yields a useful ERD, whose entities may now be translated into appropriate relationship structures.
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26. A good relational DBMS excels at managing denormalized relations.
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27. The advantage of higher processing speed must be carefully weighed against the disadvantage of data anomalies.
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28. Normalization purity is easy to sustain in the modern database environment.
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29. Unnormalized database tables often lead to various data redundancy disasters in production databases.
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30. Attributes should clearly define participation, connectivity, and document cardinality.
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31. Repeating groups must be eliminated by making sure that each column defines a single entity
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32. Dependencies can be identified with the help of the dependency diagram.
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33. Data redundancies are caused by the fact that every row entry requires duplication of data