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