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