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