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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 ___ relationship exists when two entities are associated.
Derived
Binary
Information requirements
Denormalization
2. The associative entity is also known as a ___ entity.
Database design
Information
Composite
Candidate
3. For most business transactional databases - we should normalize relations into ____.
Partial dependencies
3NF
Data warehouse
Normalization
4. Dependencies can be identified with the help of a dependency _____.
Temporary
Ternary
Diagram
Repeating group
5. If an employee within an EMPLOYEE entity has a relationship with itself - that relationship is known as a ____ relationship.
Recursive
Database design
Information
Data integrity problems
6. 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.
Data integrity problems
Participation
Numeric
RDBMS
7. Another word for existence-independent is ____.
Strong
Data integrity problems
ERM
Derived
8. In order to meet ___ requirements - you may have to denormalize some portion of the database.
Atomic attribute
3NF
Performance
Normalization stages
9. 1NF - 2NF - and 3NF are _____.
Relational models
Atomicity
Data redundancy
Normalization stages
10. A ___ identifier is composed of more than one attribute.
Diagram
Composite
Derived
Weak
11. ________ cannot be further subdivided.
3NF
Atomic attribute
Unary
Transitive dependency
12. A ______ attribute can have only one value.
Single-valued
Prime
Participation
Ternary
13. In the ERD - Cardinality is indicated using the ___ notation.
(min - max)
Relational table
Determinant
Atomicity
14. 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.
Domain
Strong
Partial dependencies
Determinant
15. The word "entity" in the ER model corresponds to a _______.
Unary
BCNF
Normalization stages
Table
16. In order to meet performance requirements - you may have to denormalize portions of the ________.
Database design
Information
Weak
Database type
17. Data redundancy produces ____.
Prime
Database type
Data integrity problems
Relational table
18. A table that is in 2NF and contains no transitive dependencies is said to be in ___.
3NF
Derived attribute
Partial
Atomic attribute
19. A ___________ must not contain a repeating group .
Relational models
Unnormalized
Ternary
Relational table
20. 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.
Prime
Recursive
Granularity
Participation
21. The existence of a(n) ___ relationship indicated that the minimum cardinality is at least 1 for the mandatory entity.
Associative
ERM
Entities
Mandatory
22. An attribute that is part of a key is known as a ____ attribute.
Multivalued dependencies
Database design
Prime
ERM
23. __________ is a process to help reduce the likelihood of data anomalies.
Data redundancy
Dependency
Normalization
3NF
24. 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.
3NF
Numeric
Duplication
Repeating group
25. A _____ entity is composed of the primary keys of each of the entities to be connected.
Numeric
3NF
Associative
Prime
26. A talbe is in 4NF if it is 3NF and has no ________.
3NF
4NF
Multivalued dependencies
Weak
27. The conflicts between design efficiency - ____________ - and processing speed are often resolved through compromised that include denormalization.
Entities
Relational table
Information requirements
Atomicity
28. A table where every determinant is a candidate key is said to be in ____.
BCNF
2NF
Atomicity
Single-valued
29. A ___ attribute is one that cannot be subdivided.
(1 - 1)
Three
Dependency
Simple
30. Depicts all dependencies found within a given table structure is known as a ______.
Atomicity
BCNF
Dependency Diagram
3NF
31. 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.
Duplication
Temporary
Database type
4NF
32. Most designers consider the BCNF as a special case of the ____.
3NF
Composite
Relational table
Transitive dependency
33. 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.
3NF
Database type
Transitive dependency
Candidate
34. Improving ___ leads to more flexible queries.
4NF
Normalization stages
Composite
Atomicity
35. In a ___ diagram - the arrows above the attribute indicate all desirable dependencies.
Information requirements
Duplication
2NF
Dependency
36. Dependencies based on only a part of a composite primary key are called ___ dependencies.
Domain
ERM
Partial
Numeric
37. A ___ relationship exists when an association is maintained within a single entity.
Database type
Three
3NF
Unary
38. The price paid for increased performance through denormalization is a larger amount of ____.
2NF
Data redundancy
3NF
Binary
39. A table is in BCNF if every determinant in the table is a ____________.
Candidate key
Simple
Temporary
Database type
40. Refers to the level of detail represented by the values stored in a table's row
2NF
Granularity
Information
Binary
41. The set of possible values for an attribute is a ____.
Domain
Associative
Information
Three
42. Any attribute whose value determines other values within a row is called ____.
Domain
Determinant
Granularity
Candidate key
43. THE MOST LIKELY DATA TYPE FOR A SURROGATE KEY IS ____.
Unnormalized
Participation
Numeric
Domain
44. _______ databases reflect the ever-growing demand for greater scope and depth in the data on which decision support systems increasingly rely.
Data warehouse
Weak
Participation
Dependency Diagram
45. When a nonkey attribute is the determinate of a key attribute the table is in 3NF but not ____.
Database design
RDBMS
BCNF
(1 - 1)
46. 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.
Granularity
Temporary
JOB_CHG_HOUR
Unnormalized
47. ______________database tables often lead to various data redundancy disasters in production databases.
Detailed narrative
1NF
Simple
Unnormalized
48. 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.
(1 - 1)
Surrogate
Temporary
Information requirements
49. The ___ refers to a specific table row as an entity instance.
Granularity
Ternary
ERM
Multivalued dependencies
50. BCNF can be violated only if the table contains more than one ___ key.
1NF
Normalization
Candidate
Derived attribute