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