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