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