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