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