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