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