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