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