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