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1. Normalization works through a series of stages called normal forms. Typically ____ stages are processed.
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A) two
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B) three
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C) four
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D) five
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2. 1NF, 2NF, and 3NF are ____.
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A) normalization stages
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B) anomalies
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C) repeating groups
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D) atomic attributes
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3. From a structural point of view, 2NF is better than ____.
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A) 1NF
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B) 3NF
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C) 4NF
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D) BCNF
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4.____ yields better performance.
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A) Denormalization
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B) Normalization
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C) Atomization
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D) Compression
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5. A table that displays data redundancies yields ____.
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A) consistencies
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B) anomalies
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C) fewer attributes
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D) more entities
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6. Data redundancy produces ____.
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7. Converting a ____ is not an example of denormalization.
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A) 3NF to 2NF
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B) 2NF to 1NF
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C) 3NF to 1NF
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D) 3NF to BCNF
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8. Some very specialized applications may require normalization beyond the ____.
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A) 1NF
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B) 2NF
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C) 3NF
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D) 4NF
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9. Of the following normal forms,____, is mostly of theoretical interest.
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A) 3NF
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B) 1NF
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C) BCNF
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D) DKNF
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10.____ is not a valid normal form.
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A) 1NF
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B) BCNF
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C) 3NF
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D) MVNF
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11. A relation is not in 1NF if ____.
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A) it has multiple candidate keys
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B) all of the key attributes are defined
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C) there are repeating groups in the table
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D) all attributes are dependent on the primary key
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12. A(n) ____ should not be placed in a relational table.
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A) entity
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B) attribute
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C) relationship
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D) repeating grouop
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13. Attribute A ____ attribute B if all of the rows in the table that agree in value for attribute A also agree in value for attribute B.
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A) determines
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B) derives from
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C) controls
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D) owns
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14. Dependencies based on only a part of a composite primary key are called ____ dependencies.
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A) primary
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B) partial
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C) imcomplete
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D) composite
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15. An attribute that is part of a key is known as a(n) ____ attribute.
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A) important
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B) nonprime
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C) prime
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D) entity
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16. Given the table EMP_PROJ (PROJ_NUM, EMP_NUM, PROJ_NAME, EMP_NAME, JOB_CLASS, CHG_HOURS, HOURS),of the following,____, is a partial dependency.
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A) PROJ_NUM --> PROJ_NAME
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B) JOB_CLASS --> CHG_HOUR
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C) PROJ_NUM, EMP_NUM --> HOURS
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D) PROJ_NUM, EMP_NUM --> CHG_HOURS
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17. In a(n) ____ diagram, the arrows above the attributes indicate all desirable dependencies
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A) Chen
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B) dependency
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C) functionality
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D) ER
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18. A table that has all key attributes defined, has no repeating groups, and all its attributes are dependent on the primary key, is said to be in ____.
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A) 1NF
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B) 2NF
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C) 3NF
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D) 4NF
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17. A table that is in 1NF and includes no partial dependencies is said to be in ____.
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A) BCNF
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B) 2NF
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C) 3NF
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D) 4NF
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18. If you have three different transitive dependencies, ____ different determinant(s) exist.
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A) one
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B) two
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C) three
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D) four
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19. Before converting a table into 3NF, it is imperative the table already be in ____.
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A) 1NF
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B) 2NF
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C) 4NF
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D) BCNF
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20. If a table has multiple candidate keys and one of those candidate keys is a composite key, the table can have ____ based on this composite candidate key, even when the primary key chosen is a single attribute.
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21. A table that is in 2NF and contains no transitive dependencies is said to be in ____.
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A) 1NF
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B) 2NF
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C) 3NF
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D) 4NF
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22. According to naming conventions described in Chapter 2, ____ would be the best name for a column representing the charges per hour in a table named JOB.
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23. Improving ____ leads to more flexible queries.
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A) atomicity
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B) normalization
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C) denormalization
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D) derived
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24. An atomic attribute ____.
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A) cannot exist in a relational table
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B) cannot be further subdivided
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C) displays multiplicity
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D) is always chosen to be a foreign key
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25. The most likely data type for a surrogate key is ____
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A) Character
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B) Date
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C) Logical
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D) Numeric
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26. Granularity refers to ____.
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A) the size of a table
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B) the level of detail represented by the values stored in a table's tow
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C) the number of attributes in a table
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D) the number of rows in a table
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27. From a strictly database point of view, ____ attribute values can be calculated when they are needed to write reports or invoices.
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A) derived
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B) atomic
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C) granular
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D) historical
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28. In a real-world environment, we must strike a balance between design integrity and ____.
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A) robustness
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B) flexibility
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C) uniqueness
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D) ease of use
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29. For most business transactional databases, we should normalize relations into ____.
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A) 1NF
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B) 2NF
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C) 3NF
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D) 6NF
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30. To generate a surrogate key, Microsoft Access uses a(n) ____ data type.
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A) surrogate
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B) sequence
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C) Autonumber
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D) identity
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31. A table where every determinant is a candidate key is said to be in ____.
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A) BCNF
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B) 2NF
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C) 3NF
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D) 4NF
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32. BCNF can be violated only if the table contains more than one ____ key.
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A) primary
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B) candidate
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C) foreign
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D) secondary
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33. Most designers consider the BCNF as a special case of the ____
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A) 1NF
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B) 2NF
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C) 3NF
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D) 4NF
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34. A table is in 4NF if ____.
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a. all attributes must be dependent on the primary key, and must be dependent on each other
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b. all attributes are unrelated
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c. no row can contain two or more multivalued facts about an entity
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d. no column contains the same values
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35. A table where all attributes are dependent on the primary key and are independent of each other, and no row contains two or more multivalued facts about an entity, is said to be in ____.
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A) 1NF
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B) 2NF
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C) 3NF
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D) 4NF
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36. When designing a database, you should ____.
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a. make sure entities are in normal form before table structures are created
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b. create table structures then normalize the database
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c. only normalize the database when performance problems occur
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d. consider more important issues such as performance before normalizing
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37. Normalization represents a micro view of the ____ within the ERD.
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A) entities
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B) attributes
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C) relationships
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D) forms
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38. An example of denormalization is using a ____ denormalized table to hold report data. This is required when creating a tabular report in which the columns represent data that is stored in the table as rows.
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A) transitive
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B) 3NF
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C) component
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D) temporary
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39. The conflicts between design efficiency, information requirements, and processing speed are often resolved through ____.
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A) conversion from 1NF to 2NF
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B) conversion from 2NF to 3NF
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C) compromises that include denormalization
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D) conversion from 3NF to 4NF
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40.____ databases reflect the ever-growing demand for greater scope and depth in the data on which decision support systems increasingly rely.
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A) Noramlized
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B) Data warehouse
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C) Temporary
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D) Report