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Test your basic knowledge |
Data Modeling
Start Test
Study First
Subject
:
it-skills
Instructions:
Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
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. An attribute that is part of a key is known as a ____ attribute.
(min - max)
Data warehouse
Single-valued
Prime
2. The set of possible values for an attribute is a ____.
Duplication
ERM
Normalization stages
Domain
3. Dependencies can be identified with the help of a dependency _____.
Diagram
Candidate
3NF
2NF
4. In a ___ diagram - the arrows above the attribute indicate all desirable dependencies.
Dependency
Derived attribute
Data redundancy
Composite
5. The following step occurs first in the process of building an ERD: create a __________ of the organization's description of operations.
1NF
Detailed narrative
Normalization stages
3NF
6. The ___ refers to a specific table row as an entity instance.
Strong
Temporary
ERM
2NF
7. A ___ relationship exists when two entities are associated.
Unnormalized
Binary
Diagram
3NF
8. From a structural point of view - ______ is better than 1NF
2NF
Candidate key
3NF
(min - max)
9. ______________database tables often lead to various data redundancy disasters in production databases.
Recursive
Unnormalized
Transitive dependency
Granularity
10. The price paid for increased performance through denormalization is a larger amount of ____.
Relational models
Table
Data redundancy
Transitive dependency
11. A ___________ must not contain a repeating group .
Relational table
(min - max)
BCNF
BCNF
12. Most designers consider the BCNF as a special case of the ____.
Duplication
3NF
Ternary
Unnormalized
13. _______ databases reflect the ever-growing demand for greater scope and depth in the data on which decision support systems increasingly rely.
Surrogate
1NF
Normalization
Data warehouse
14. A table where every determinant is a candidate key is said to be in ____.
Partial dependencies
Ternary
Domain
BCNF
15. A ____ relationship exists when three entities are associated.
Ternary
BCNF
Atomic attribute
Relational table
16. 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.
Temporary
JOB_CHG_HOUR
Data redundancy
Strong
17. Refers to the level of detail represented by the values stored in a table's row
Prime
Simple
Composite
Granularity
18. 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.
Relational table
Three
Temporary
Database type
19. 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.
Normalization
4NF
Repeating group
Determinant
20. The Crow's foot symbol with two parallel lines indicates ___ cardinality.
Information
(1 - 1)
4NF
Relational models
21. A ___ attribute is one that cannot be subdivided.
(min - max)
Simple
Entities
Prime
22. Data redundancy produces ____.
Derived attribute
Binary
Data integrity problems
Atomic attribute
23. Complex ____ requirements may dictate data transformations - and they may expand the number of entities and attributes withing the design.
Relational models
Candidate
Information
Weak
24. In order to meet performance requirements - you may have to denormalize portions of the ________.
Derived attribute
Relational models
Database design
Binary
25. Need not be stored physically in the data base.
Composite
BCNF
Relational models
Derived attribute
26. 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 ____.
Performance
4NF
Single-valued
Granularity
27. ________ cannot be further subdivided.
RDBMS
Atomic attribute
4NF
3NF
28. When a nonkey attribute is the determinate of a key attribute the table is in 3NF but not ____.
Composite
BCNF
JOB_CHG_HOUR
Dependency
29. The word "entity" in the ER model corresponds to a _______.
Prime
Table
3NF
JOB_CHG_HOUR
30. __________ is a process to help reduce the likelihood of data anomalies.
Normalization
BCNF
Database type
Prime
31. 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.
Detailed narrative
Simple
Partial dependencies
3NF
32. 1NF - 2NF - and 3NF are _____.
Simple
Normalization stages
Atomicity
Participation
33. A _____ entity is composed of the primary keys of each of the entities to be connected.
Entities
Composite
Associative
Determinant
34. Normalization represents a micro view of the ___ within the ERD.
Entities
Detailed narrative
Recursive
Ternary
35. The conflicts between design efficiency - ____________ - and processing speed are often resolved through compromised that include denormalization.
Information requirements
Candidate key
Dependency
BCNF
36. If an employee within an EMPLOYEE entity has a relationship with itself - that relationship is known as a ____ relationship.
Table
Associative
JOB_CHG_HOUR
Recursive
37. Another word for existence-independent is ____.
Mandatory
Data warehouse
RDBMS
Strong
38. A table is in BCNF if every determinant in the table is a ____________.
Partial dependencies
Mandatory
Candidate key
Diagram
39. 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 ____.
Information
Partial
Atomic attribute
1NF
40. The associative entity is also known as a ___ entity.
Candidate key
Composite
Dependency Diagram
Partial dependencies
41. 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.
Transitive dependency
(1 - 1)
RDBMS
Composite
42. Any attribute whose value determines other values within a row is called ____.
Surrogate
Single-valued
Determinant
Ternary
43. The existence of a(n) ___ relationship indicated that the minimum cardinality is at least 1 for the mandatory entity.
BCNF
Performance
Mandatory
Derived
44. A ___ relationship exists when an association is maintained within a single entity.
Unary
Entities
Dependency
Detailed narrative
45. THE MOST LIKELY DATA TYPE FOR A SURROGATE KEY IS ____.
Numeric
Detailed narrative
Data redundancy
Single-valued
46. 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
Relational models
Domain
4NF
47. BCNF can be violated only if the table contains more than one ___ key.
2NF
Detailed narrative
Table
Candidate
48. A table that is in 2NF and contains no transitive dependencies is said to be in ___.
Multivalued dependencies
Candidate
Atomic attribute
3NF
49. In order to meet ___ requirements - you may have to denormalize some portion of the database.
Temporary
Ternary
Performance
Associative
50. A talbe is in 4NF if it is 3NF and has no ________.
Multivalued dependencies
Determinant
Performance
Repeating group