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Data Modeling
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Study First
Subject
:
it-skills
Instructions:
Answer 50 questions in 15 minutes.
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.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. The set of possible values for an attribute is a ____.
Information requirements
Normalization
Domain
Three
2. A _____ entity is composed of the primary keys of each of the entities to be connected.
Candidate key
Associative
Data redundancy
Entities
3. A ___ relationship exists when two entities are associated.
Binary
Data integrity problems
Dependency
Simple
4. ____ yields better performance.
Database type
RDBMS
Denormalization
Unary
5. When a nonkey attribute is the determinate of a key attribute the table is in 3NF but not ____.
Candidate
BCNF
(min - max)
RDBMS
6. A ___ identifier is composed of more than one attribute.
Entities
Ternary
Composite
Weak
7. 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.
Unary
Prime
Temporary
Composite
8. If you have three different transitive dependencies - ___ different determinants exist.
Multivalued dependencies
Three
Derived
Candidate key
9. The Crow's foot symbol with two parallel lines indicates ___ cardinality.
2NF
Partial dependencies
(1 - 1)
Binary
10. A ___ attribute is one that cannot be subdivided.
Relational models
Simple
Associative
Denormalization
11. A table that is in 2NF and contains no transitive dependencies is said to be in ___.
3NF
Determinant
Multivalued dependencies
BCNF
12. An ERM is not dependent on the ____________.
Relational table
Database type
Derived
Atomicity
13. Normalization represents a micro view of the ___ within the ERD.
Table
Entities
Dependency Diagram
Weak
14. In a ___ diagram - the arrows above the attribute indicate all desirable dependencies.
Data redundancy
Table
Normalization
Dependency
15. Need not be stored physically in the data base.
Partial
Derived attribute
Database design
BCNF
16. A ____ relationship exists when three entities are associated.
Repeating group
Partial
Database design
Ternary
17. ______________database tables often lead to various data redundancy disasters in production databases.
3NF
Unnormalized
Recursive
Atomic attribute
18. The existence of a(n) ___ relationship indicated that the minimum cardinality is at least 1 for the mandatory entity.
RDBMS
Prime
Mandatory
2NF
19. Another word for existence-independent is ____.
3NF
Relational table
Strong
Relational models
20. __________ is a process to help reduce the likelihood of data anomalies.
Repeating group
Normalization
RDBMS
Information requirements
21. Data redundancies occur from ____ of data on every row entry.
2NF
Duplication
(1 - 1)
Atomic attribute
22. Refers to the level of detail represented by the values stored in a table's row
Relational table
Information
Detailed narrative
Granularity
23. The ___ refers to a specific table row as an entity instance.
Normalization stages
Database type
Weak
ERM
24. A ______ attribute can have only one value.
Information
Single-valued
Relational models
Strong
25. 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 ____.
Data integrity problems
Weak
Unnormalized
1NF
26. If an employee within an EMPLOYEE entity has a relationship with itself - that relationship is known as a ____ relationship.
Partial dependencies
Data integrity problems
Recursive
Entities
27. 1NF - 2NF - and 3NF are _____.
Performance
Normalization stages
Derived
Participation
28. An attribute that is part of a key is known as a ____ attribute.
3NF
Prime
Derived
BCNF
29. ________ cannot be further subdivided.
Information
Atomic attribute
Relational table
Transitive dependency
30. 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.
JOB_CHG_HOUR
Detailed narrative
Prime
Data warehouse
31. A ____ exists when there are functional dependencies such that Y is functionally dependent on X and Z is functionally dependent on Y - and X is the primary key.
Data warehouse
Transitive dependency
Entities
Dependency Diagram
32. The word "entity" in the ER model corresponds to a _______.
3NF
Single-valued
Relational models
Table
33. Complex ____ requirements may dictate data transformations - and they may expand the number of entities and attributes withing the design.
Information
3NF
Transitive dependency
Strong
34. 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.
Multivalued dependencies
Weak
Granularity
Partial dependencies
35. A ___ relationship exists when an association is maintained within a single entity.
Unary
Derived attribute
Three
BCNF
36. A ___________ must not contain a repeating group .
Atomic attribute
Information requirements
Relational table
Candidate key
37. A ___ entity has a primary key that is partially or totally derived from the parent entity in the relationship.
Transitive dependency
Data warehouse
Weak
Surrogate
38. Relationship strength depends on how the primary key of the related entity is formulated - while the relationship ____ depends on how the business rule is written.
Single-valued
(1 - 1)
ERM
Participation
39. BCNF can be violated only if the table contains more than one ___ key.
BCNF
BCNF
(1 - 1)
Candidate
40. Any attribute whose value determines other values within a row is called ____.
Determinant
Duplication
Associative
Table
41. A ___ derives its name from the fact that a group of multiple entries of the same type can exist for any single key attribute occurrence.
Determinant
Binary
Repeating group
Domain
42. _______ databases reflect the ever-growing demand for greater scope and depth in the data on which decision support systems increasingly rely.
Composite
2NF
Determinant
Data warehouse
43. In the ERD - Cardinality is indicated using the ___ notation.
(min - max)
BCNF
Mandatory
Domain
44. A table is in BCNF if every determinant in the table is a ____________.
Derived
Granularity
Candidate key
3NF
45. View the data as part of a table or collection of tables in which all key values must be identified.
Participation
Relational models
(1 - 1)
Candidate key
46. A talbe is in 4NF if it is 3NF and has no ________.
Binary
Relational table
Normalization stages
Multivalued dependencies
47. Most designers consider the BCNF as a special case of the ____.
Partial dependencies
3NF
JOB_CHG_HOUR
Three
48. Depicts all dependencies found within a given table structure is known as a ______.
Derived attribute
4NF
Dependency Diagram
Partial
49. For most business transactional databases - we should normalize relations into ____.
Diagram
3NF
(1 - 1)
Numeric
50. If database tables are treated as though they were files in a file system - the ___ never has a chance to demonstrate its superior data-handling capabilities.
Candidate key
RDBMS
Simple
Recursive
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