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Data Modeling
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Subject
:
it-skills
Instructions:
Answer 50 questions in 15 minutes.
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Match each statement with the correct term.
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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. 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.
BCNF
Mandatory
Table
Temporary
2. A table that is in 2NF and contains no transitive dependencies is said to be in ___.
Granularity
Derived attribute
3NF
Single-valued
3. Another word for existence-independent is ____.
Strong
Participation
Weak
Ternary
4. When a nonkey attribute is the determinate of a key attribute the table is in 3NF but not ____.
Unary
Weak
BCNF
Single-valued
5. Data redundancy produces ____.
Data integrity problems
Single-valued
Entities
Relational models
6. ______________database tables often lead to various data redundancy disasters in production databases.
Derived attribute
Unnormalized
BCNF
Transitive dependency
7. 1NF - 2NF - and 3NF are _____.
Composite
Recursive
Information
Normalization stages
8. 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.
Multivalued dependencies
Repeating group
3NF
JOB_CHG_HOUR
9. 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 ____.
1NF
Determinant
Simple
Candidate
10. An ERM is not dependent on the ____________.
Data warehouse
Derived
Database type
Multivalued dependencies
11. In the ERD - Cardinality is indicated using the ___ notation.
(min - max)
3NF
Detailed narrative
Data warehouse
12. The following step occurs first in the process of building an ERD: create a __________ of the organization's description of operations.
Dependency
JOB_CHG_HOUR
Data warehouse
Detailed narrative
13. View the data as part of a table or collection of tables in which all key values must be identified.
4NF
Table
Single-valued
Relational models
14. 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.
Diagram
(min - max)
Relational table
Transitive dependency
15. In order to meet ___ requirements - you may have to denormalize some portion of the database.
Granularity
Performance
Composite
Composite
16. The ___ refers to a specific table row as an entity instance.
Unnormalized
ERM
Atomic attribute
Mandatory
17. Dependencies based on only a part of a composite primary key are called ___ dependencies.
Derived
Surrogate
Unary
Partial
18. A table where all attributes are dependent on the primary key are independent of each other - and no row contains two or more multivalued facts about an entity - is said to be in ____.
Diagram
Database design
Prime
4NF
19. For most business transactional databases - we should normalize relations into ____.
3NF
Unary
Information requirements
Transitive dependency
20. Depicts all dependencies found within a given table structure is known as a ______.
Performance
Granularity
Dependency Diagram
Participation
21. Data redundancies occur from ____ of data on every row entry.
Candidate key
Duplication
BCNF
Database type
22. From a structural point of view - ______ is better than 1NF
Unnormalized
Performance
2NF
Partial
23. ____ yields better performance.
Data redundancy
Derived attribute
1NF
Denormalization
24. A table is in BCNF if every determinant in the table is a ____________.
ERM
Prime
Candidate key
3NF
25. A ___ relationship exists when two entities are associated.
Normalization stages
Associative
Binary
Relational models
26. Dependencies can be identified with the help of a dependency _____.
Diagram
Database design
Binary
Denormalization
27. Improving ___ leads to more flexible queries.
Atomicity
Information requirements
Single-valued
Determinant
28. A ___ identifier is composed of more than one attribute.
Numeric
Simple
Derived
Composite
29. The Crow's foot symbol with two parallel lines indicates ___ cardinality.
Numeric
(1 - 1)
3NF
Table
30. A ____ relationship exists when three entities are associated.
Table
Granularity
Data redundancy
Ternary
31. Normalization represents a micro view of the ___ within the ERD.
Three
Domain
2NF
Entities
32. 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.
Partial dependencies
4NF
Repeating group
Derived
33. An attribute that is part of a key is known as a ____ attribute.
ERM
Prime
Unnormalized
1NF
34. ________ cannot be further subdivided.
Denormalization
Atomic attribute
RDBMS
Normalization
35. In a real-world environment - changing granularity requirements might dictate changes in primary key selection - and those changes might ultimately require the use of ____ keys.
Temporary
Surrogate
BCNF
Associative
36. A _____ entity is composed of the primary keys of each of the entities to be connected.
Associative
Determinant
Unary
Information
37. The set of possible values for an attribute is a ____.
Data redundancy
Data warehouse
Strong
Domain
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.
Participation
Simple
Three
(min - max)
39. From a system functionality point of view - ___ attribute values can be calculated when they are needed to write reports or invoices.
Derived
Associative
2NF
Diagram
40. In order to meet performance requirements - you may have to denormalize portions of the ________.
Granularity
Partial dependencies
Atomicity
Database design
41. A ___ entity has a primary key that is partially or totally derived from the parent entity in the relationship.
Duplication
Candidate
Weak
Composite
42. _______ databases reflect the ever-growing demand for greater scope and depth in the data on which decision support systems increasingly rely.
Database design
Detailed narrative
Domain
Data warehouse
43. The existence of a(n) ___ relationship indicated that the minimum cardinality is at least 1 for the mandatory entity.
Transitive dependency
Detailed narrative
Multivalued dependencies
Mandatory
44. A ___________ must not contain a repeating group .
3NF
Associative
Relational table
Detailed narrative
45. In a ___ diagram - the arrows above the attribute indicate all desirable dependencies.
Duplication
Dependency
Participation
Mandatory
46. A ______ attribute can have only one value.
Determinant
(min - max)
Single-valued
Multivalued dependencies
47. A ___ relationship exists when an association is maintained within a single entity.
Unary
Surrogate
3NF
Ternary
48. A talbe is in 4NF if it is 3NF and has no ________.
Data redundancy
Table
(min - max)
Multivalued dependencies
49. Any attribute whose value determines other values within a row is called ____.
Entities
1NF
Determinant
Participation
50. If an employee within an EMPLOYEE entity has a relationship with itself - that relationship is known as a ____ relationship.
Recursive
Domain
Data integrity problems
Performance
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