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