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Q:
When a table contains only one candidate key, ________________are considered to be equivalent.a. the 1NF and the 2NFb. the 3NF and the BCNFc. the 4NF and the 3NFd. the BCNF and the DKNF
Q:
BCNF can be violated only if the table contains more than one ______________-key.a. primaryb. candidatec. foreignd. secondary
Q:
In a______________ situation, one key determines multiple values of two other attributes and those attributes are independent of each other.a. multivalued dependencyb. transitive dependencyc. partial dependencyd. functional dependency
Q:
A table where every determinant is a candidate key is said to be in___________ .a. BCNFb. 2NFc. 1NFd. 4NF
Q:
To generate a surrogate key, Microsoft Access uses a(n)_________ data type.a. characterb. sequencec. AutoNumberd. identity
Q:
For most business transactional databases, we should normalize relations into_________-- .a. 1NFb. 2NFc. 3NFd. 6NF
Q:
In a real-world environment, we must strike a balance between design integrity and______________ .a. robustnessb. flexibilityc. uniquenessd. ease of use
Q:
From a system functionality point of view, __________attribute values can be calculated when they are needed to write reports or invoices.a. derivedb. atomicc. granulard. historical
Q:
Granularity refers to__________ .a. the size of a tableb. the level of detail represented by the values in a table's rowc. the number of attributes represented in a tabled. the number of rows in a table
Q:
The most likely data type for a surrogate key is__________ .a. characterb. datec. logicald. numeric
Q:
An atomic attribute_______________ .a. cannot exist in a relational tableb. cannot be further subdividedc. displays multiplicityd. is always chosen to be a foreign key
Q:
Improving__________ leads to more flexible queries.a. atomicityb. normalizationc. denormalizationd. derived attribute
Q:
A table that is in 2NF and contains no transitive dependencies is said to be in_____________ .a. 1NFb. 2NFc. 3NFd. 4NF
Q:
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.a. Boyce-Codd normal formsb. redundanciesc. time-variancesd. partial dependencies
Q:
A(n)__________ exists when there are functional dependencies such that XY is functionally dependent on WZ, X is functionally dependent on W, and XY is the primary key.a. atomic attributeb. repeating groupc. partial dependencyd. transitive dependency
Q:
Before converting a table into 3NF, it is imperative that the table already be in_________- .a. 1NFb. 2NFc. 4NFd. BCNF
Q:
If you have three different transitive dependencies,___________ different determinant(s) exist.a. oneb. twoc. threed. four
Q:
A table that is in 1NF and includes no partial dependencies is said to be in______________ .a. BCNFb. 2NFc. 3NFd. 4NF
Q:
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__________ .a. 1NFb. 2NFc. 3NFd. 4NF
Q:
In a(n)__________ diagram, the arrows above the attributes indicate all desirable dependencies.a. Chenb. dependencyc. functionalityd. ER
Q:
Dependencies based on only a part of a composite primary key are known as __________dependencies.a. primaryb. partialc. incompleted. composite
Q:
A relational table must not contain a(n)______________ .a. entityb. attributec. relationshipd. repeating group
Q:
A___________ derives its name from the fact that a collection of multiple entries of the same type can exist for any single key attribute occurrence.a. partial dependencyb. transitive dependencyc. repeating groupd. primary key
Q:
Attribute A _______________attribute B if all of the rows in the table that agree in value for attribute A also agree in value for attributeB.a. determinesb. derives fromc. controlsd. owns
Q:
A(n)___________ exists when there are functional dependencies such that Y is functionally dependent on X, Z is functionally dependent on Y, and X is the primary key.a. partial dependencyb. repeating groupc. atomic attributed. transitive dependency
Q:
Of the following normal forms,_________ is mostly of theoretical interest.a. 1NFb. 3NFc. BCNFd. DKNF
Q:
Some very specialized applications may require normalization beyond the_______________ .a. 1NFb. 2NFc. 3NFd. 4NF
Q:
Data redundancy produces_________ .a. slower lookupsb. robust designc. efficient storage used. data integrity problems
Q:
A table that displays data redundancies yields___________- .a. consistenciesb. anomaliesc. fewer attributesd. more entities
Q:
An attribute that is part of a key is known as a(n)__________ attribute.a. importantb. nonprimec. primed. entity
Q:
____________yields better performance.a. Denormalizationb. Normalizationc. Atomizationd. Compression
Q:
From a structural point of view, 2NF is better than___________ .a. 1NFb. 3NFc. 4NFd. BCNF
Q:
1NF, 2NF, and 3NF are_____________ .a. normalization stagesb. anomaliesc. repeating groupsd. atomic attributes
Q:
From a structural point of view, 3NF is better than____________ .a. 4NFb. 2NFc. 5NFd. 6NF
Q:
Normalization works through a series of stages called normal forms. For most purposes in business database design,_______ stages are as high as you need to go in the normalization process.a. twob. threec. fourd. five
Q:
Attributes should clearly define participation, connectivity, and document cardinality.a. Trueb. False
Q:
Unnormalized database tables often lead to various data redundancy disasters in production databases.a. Trueb. False
Q:
Normalization purity is often easy to sustain in the modern database environment.a. Trueb. False
Q:
The advantage of higher processing speed must be carefully weighed against the disadvantage of data anomalies.a. Trueb. False
Q:
A good relational DBMS excels at managing denormalized relations.a. Trueb. False
Q:
The combination of normalization and ER modeling yields a useful ERD, whose entities can be translated into appropriate relationship structures.a. Trueb. False
Q:
Normalization represents a micro view of the entities within the ERD.a. Trueb. False
Q:
Normalization should be part of the design process.
a. True
b. False
Q:
Atomic attributes are attributes that can be further subdivided.a. Trueb. False
Q:
Data stored at their highest level of granularity are said to be atomic data.
a. True
b. False
Q:
A dependency of one nonprime attribute on another nonprime attribute is a partial dependency.
a. True
b. False
Q:
A determinant is any attribute whose value determines other values within a column.
a. True
b. False
Q:
It is possible for a table in 2NF to exhibit transitive dependency, where the primary key may rely on one or more nonprime attributes to functionally determine other nonprime attributes.
a. True
b. False
Q:
A table is in 2NF if it is in 1NF, and it includes no partial dependencies.
a. True
b. False
Q:
Since 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.
a. True
b. False
Q:
Converting a database format from 1NF to 2NF is a complex process.
a. True
b. False
Q:
In the context of partial dependencies, data redundancies occur because every row entry requires duplication of data.
a. True
b. False
Q:
All relational tables satisfy the 1NF requirements.
a. True
b. False
Q:
Dependencies that are based on only a part of a composite primary key are called transitive dependencies.
a. True
b. False
Q:
Dependency diagrams are very helpful in getting a bird'seye view of all the relationships among a table's attributes.a. Trueb. False
Q:
Repeating groups must be eliminated by ensuring that each row defines a single entity.
a. True
b. False
Q:
The objective of normalization is to ensure that each table conforms to the concept of well-formed relations.
a. True
b. False
Q:
Relational models view data as part of a table or collection of tables in which all key values must be identified.a. Trueb. False
Q:
A table is in fourth normal form if it is in third normal form and has no independent multivalued dependencies.
a. True
b. False
Q:
A dependency based on only a part of a composite primary key is known as a partial dependency.
a. True
b. False
Q:
A table is in BCNF if every determinant in the table is a foreign key.
a. True
b. False
Q:
A table is in BCNF if every determinant in the table is a candidate key.
a. True
b. False
Q:
Data redundancy produces data anomalies.
a. True
b. False
Q:
Reporting anomalies in a table can cause a multitude of problems for managers and can be fixed through application programming.
a. True
b. False
Q:
Normalization is a very important database design ingredient, and the highest level is always the most desirable.
a. True
b. False
Q:
Denormalization produces a lower normal form.
a. True
b. False
Q:
In order to meet performance requirements, portions of the database design may need to be occasionally denormalized.a. Trueb. False
Q:
Normalization is a process that is used for changing attributes to entities.
a. True
b. False
Q:
Normalization produces a lower normal form.
a. True
b. False
Q:
Normalization works through a series of stages called normal forms.
a. True
b. False
Q:
In which two cases are composite primary keys particularly useful?
Q:
Explain the "no change over time" characteristic of a primary key.
Q:
Describe an entity cluster.
Q:
Explain the two criteria that help a designer in determining when to use subtypes and supertypes.
Q:
Differentiate between specialization and generalization.
Q:
What do specialization hierarchies do?
Q:
The main concern with redundant relationships is that they remain across________ the model.
Q:
A___________ occurs when a relationship is improperly or incompletely identified and is therefore represented in a way that is not consistent with the real world.
Q:
From a data modeling point of view, ___________--data refer to data whose values change over time and for which one must keep a history of the data changes.
Q:
While using a surrogate key, one must ensure that the candidate key of the entity in question performs properly through the use of the "_________ " and "not null" constraints.