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