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