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