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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. The existence of a(n) ___ relationship indicated that the minimum cardinality is at least 1 for the mandatory entity.
Three
Domain
Mandatory
Granularity
2. A ___ attribute is one that cannot be subdivided.
Data warehouse
1NF
Recursive
Simple
3. THE MOST LIKELY DATA TYPE FOR A SURROGATE KEY IS ____.
Numeric
Derived attribute
Candidate
Composite
4. An attribute that is part of a key is known as a ____ attribute.
Prime
Strong
Data warehouse
BCNF
5. Most designers consider the BCNF as a special case of the ____.
3NF
Normalization
Repeating group
(min - max)
6. Data redundancies occur from ____ of data on every row entry.
Relational table
Duplication
Derived attribute
Simple
7. In a ___ diagram - the arrows above the attribute indicate all desirable dependencies.
Dependency
Atomicity
Strong
3NF
8. Need not be stored physically in the data base.
Data warehouse
Derived attribute
Partial
Data integrity problems
9. _______ databases reflect the ever-growing demand for greater scope and depth in the data on which decision support systems increasingly rely.
BCNF
Granularity
Surrogate
Data warehouse
10. ______________database tables often lead to various data redundancy disasters in production databases.
Transitive dependency
Prime
Strong
Unnormalized
11. A ___ relationship exists when two entities are associated.
Database design
Simple
Entities
Binary
12. Dependencies based on only a part of a composite primary key are called ___ dependencies.
Performance
Normalization stages
Prime
Partial
13. 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
Three
Granularity
Surrogate
14. The ___ refers to a specific table row as an entity instance.
Domain
ERM
Duplication
Multivalued dependencies
15. Complex ____ requirements may dictate data transformations - and they may expand the number of entities and attributes withing the design.
Information
Detailed narrative
Normalization
Weak
16. A table is in BCNF if every determinant in the table is a ____________.
Candidate key
3NF
Unary
Data warehouse
17. A ___________ must not contain a repeating group .
Atomicity
Mandatory
Dependency
Relational table
18. If you have three different transitive dependencies - ___ different determinants exist.
Ternary
RDBMS
Table
Three
19. A ___ relationship exists when an association is maintained within a single entity.
Ternary
3NF
Unary
Weak
20. The associative entity is also known as a ___ entity.
Composite
Dependency Diagram
Candidate
Prime
21. In the ERD - Cardinality is indicated using the ___ notation.
Derived
(min - max)
Normalization
Composite
22. In order to meet performance requirements - you may have to denormalize portions of the ________.
Partial dependencies
Unary
Database design
Atomicity
23. A ___ entity has a primary key that is partially or totally derived from the parent entity in the relationship.
Denormalization
Weak
Partial dependencies
Surrogate
24. The price paid for increased performance through denormalization is a larger amount of ____.
Duplication
Performance
Recursive
Data redundancy
25. 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 ____.
RDBMS
Temporary
4NF
Candidate
26. Normalization represents a micro view of the ___ within the ERD.
Repeating group
2NF
Entities
JOB_CHG_HOUR
27. View the data as part of a table or collection of tables in which all key values must be identified.
Mandatory
Relational models
(1 - 1)
Composite
28. Another word for existence-independent is ____.
Strong
Database design
BCNF
Data integrity problems
29. Any attribute whose value determines other values within a row is called ____.
Unnormalized
Determinant
Information requirements
Ternary
30. ____ yields better performance.
Data integrity problems
Multivalued dependencies
Denormalization
JOB_CHG_HOUR
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.
Candidate key
Ternary
Transitive dependency
Partial dependencies
32. An ERM is not dependent on the ____________.
Information requirements
(min - max)
3NF
Database type
33. A ___ identifier is composed of more than one attribute.
Table
Determinant
Unnormalized
Composite
34. The Crow's foot symbol with two parallel lines indicates ___ cardinality.
1NF
ERM
(1 - 1)
Candidate key
35. When a nonkey attribute is the determinate of a key attribute the table is in 3NF but not ____.
(min - max)
ERM
BCNF
Repeating group
36. 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.
Denormalization
ERM
Table
JOB_CHG_HOUR
37. The set of possible values for an attribute is a ____.
Three
Composite
Weak
Domain
38. A ____ relationship exists when three entities are associated.
Ternary
3NF
Data integrity problems
Information requirements
39. Depicts all dependencies found within a given table structure is known as a ______.
Table
Dependency Diagram
2NF
Relational table
40. A talbe is in 4NF if it is 3NF and has no ________.
3NF
Atomicity
Relational models
Multivalued dependencies
41. 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.
Strong
Unnormalized
Information
Partial dependencies
42. __________ is a process to help reduce the likelihood of data anomalies.
Unary
Normalization
Information requirements
Information
43. 1NF - 2NF - and 3NF are _____.
Normalization stages
Detailed narrative
Candidate
Database design
44. 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.
Transitive dependency
Repeating group
1NF
Simple
45. 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.
Detailed narrative
Temporary
Surrogate
Atomicity
46. ________ cannot be further subdivided.
Partial dependencies
Prime
3NF
Atomic attribute
47. A table that is in 2NF and contains no transitive dependencies is said to be in ___.
(1 - 1)
Denormalization
3NF
Detailed narrative
48. Dependencies can be identified with the help of a dependency _____.
JOB_CHG_HOUR
Derived attribute
Diagram
Atomic attribute
49. Refers to the level of detail represented by the values stored in a table's row
Granularity
Partial dependencies
Diagram
Entities
50. The word "entity" in the ER model corresponds to a _______.
Table
Multivalued dependencies
(1 - 1)
Detailed narrative