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