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