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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 _____ entity is composed of the primary keys of each of the entities to be connected.
Derived attribute
Information
Relational models
Associative
2. View the data as part of a table or collection of tables in which all key values must be identified.
Derived
Relational models
Data integrity problems
Candidate
3. The price paid for increased performance through denormalization is a larger amount of ____.
Granularity
Unary
(min - max)
Data redundancy
4. Another word for existence-independent is ____.
Candidate
Strong
Single-valued
Transitive dependency
5. 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.
Partial
Denormalization
2NF
RDBMS
6. The ___ refers to a specific table row as an entity instance.
Dependency Diagram
ERM
Transitive dependency
Data warehouse
7. Complex ____ requirements may dictate data transformations - and they may expand the number of entities and attributes withing the design.
Numeric
(1 - 1)
Granularity
Information
8. Any attribute whose value determines other values within a row is called ____.
Determinant
Denormalization
(1 - 1)
Relational models
9. _______ databases reflect the ever-growing demand for greater scope and depth in the data on which decision support systems increasingly rely.
Partial dependencies
Candidate
Data warehouse
ERM
10. A table where every determinant is a candidate key is said to be in ____.
(min - max)
BCNF
Normalization stages
Unnormalized
11. A ___ identifier is composed of more than one attribute.
Multivalued dependencies
Normalization stages
2NF
Composite
12. THE MOST LIKELY DATA TYPE FOR A SURROGATE KEY IS ____.
Unary
3NF
Numeric
Derived
13. Data redundancies occur from ____ of data on every row entry.
Repeating group
Derived attribute
Duplication
Unnormalized
14. 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
Domain
Candidate
Transitive dependency
15. 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.
Candidate key
Information requirements
BCNF
JOB_CHG_HOUR
16. Need not be stored physically in the data base.
JOB_CHG_HOUR
Normalization stages
Derived attribute
Entities
17. When a nonkey attribute is the determinate of a key attribute the table is in 3NF but not ____.
BCNF
Partial
Granularity
4NF
18. The word "entity" in the ER model corresponds to a _______.
2NF
Table
Information
Normalization stages
19. ______________database tables often lead to various data redundancy disasters in production databases.
Unary
Repeating group
Table
Unnormalized
20. 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.
Table
Domain
Data redundancy
Repeating group
21. Dependencies based on only a part of a composite primary key are called ___ dependencies.
Partial
Composite
Three
3NF
22. Improving ___ leads to more flexible queries.
Recursive
Participation
(min - max)
Atomicity
23. Dependencies can be identified with the help of a dependency _____.
Surrogate
Diagram
(min - max)
BCNF
24. The existence of a(n) ___ relationship indicated that the minimum cardinality is at least 1 for the mandatory entity.
Relational table
Partial dependencies
Mandatory
2NF
25. A ______ attribute can have only one value.
Data redundancy
Unary
Participation
Single-valued
26. Refers to the level of detail represented by the values stored in a table's row
Granularity
JOB_CHG_HOUR
Dependency Diagram
Normalization stages
27. 1NF - 2NF - and 3NF are _____.
Composite
4NF
Data integrity problems
Normalization stages
28. 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.
Participation
Ternary
Diagram
Transitive dependency
29. 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 ____.
(min - max)
4NF
Partial
Database design
30. If an employee within an EMPLOYEE entity has a relationship with itself - that relationship is known as a ____ relationship.
Relational table
Recursive
Duplication
Data warehouse
31. An ERM is not dependent on the ____________.
Relational table
Database type
Associative
Multivalued dependencies
32. Data redundancy produces ____.
Data integrity problems
Derived attribute
Relational table
Ternary
33. Most designers consider the BCNF as a special case of the ____.
Surrogate
3NF
Partial dependencies
Binary
34. A ____ relationship exists when three entities are associated.
Candidate key
Ternary
Binary
Performance
35. A table is in BCNF if every determinant in the table is a ____________.
(min - max)
BCNF
Duplication
Candidate key
36. Depicts all dependencies found within a given table structure is known as a ______.
Performance
BCNF
Information requirements
Dependency Diagram
37. __________ is a process to help reduce the likelihood of data anomalies.
Candidate
Normalization
RDBMS
3NF
38. In order to meet performance requirements - you may have to denormalize portions of the ________.
Database design
1NF
Three
Repeating group
39. The associative entity is also known as a ___ entity.
Domain
Unary
Associative
Composite
40. A ___ attribute is one that cannot be subdivided.
Simple
Performance
Strong
Recursive
41. Normalization represents a micro view of the ___ within the ERD.
Temporary
RDBMS
Relational table
Entities
42. If you have three different transitive dependencies - ___ different determinants exist.
Three
Atomicity
Information
Duplication
43. BCNF can be violated only if the table contains more than one ___ key.
Multivalued dependencies
2NF
Relational models
Candidate
44. The Crow's foot symbol with two parallel lines indicates ___ cardinality.
3NF
Candidate
Data integrity problems
(1 - 1)
45. ________ cannot be further subdivided.
Atomic attribute
Multivalued dependencies
Information requirements
BCNF
46. The conflicts between design efficiency - ____________ - and processing speed are often resolved through compromised that include denormalization.
Information requirements
Partial
Atomicity
Derived
47. 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.
Diagram
Partial dependencies
Unary
Weak
48. From a structural point of view - ______ is better than 1NF
JOB_CHG_HOUR
2NF
4NF
Database design
49. A ___________ must not contain a repeating group .
Mandatory
Relational table
Entities
Dependency
50. A ___ relationship exists when two entities are associated.
Atomicity
Binary
1NF
Transitive dependency