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