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