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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. _______ databases reflect the ever-growing demand for greater scope and depth in the data on which decision support systems increasingly rely.
Granularity
Data warehouse
Composite
Dependency
2. 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.
Repeating group
Composite
Transitive dependency
Temporary
3. Most designers consider the BCNF as a special case of the ____.
3NF
Candidate
Entities
Performance
4. A _____ entity is composed of the primary keys of each of the entities to be connected.
RDBMS
Associative
Partial dependencies
Temporary
5. A table that is in 2NF and contains no transitive dependencies is said to be in ___.
3NF
(1 - 1)
Numeric
Composite
6. A ___________ must not contain a repeating group .
1NF
Atomicity
Relational table
Associative
7. The existence of a(n) ___ relationship indicated that the minimum cardinality is at least 1 for the mandatory entity.
RDBMS
Transitive dependency
Mandatory
Candidate key
8. Dependencies based on only a part of a composite primary key are called ___ dependencies.
Table
Database type
Partial
Derived
9. If database tables are treated as though they were files in a file system - the ___ never has a chance to demonstrate its superior data-handling capabilities.
RDBMS
Normalization stages
Temporary
Partial dependencies
10. __________ is a process to help reduce the likelihood of data anomalies.
Normalization
RDBMS
Granularity
Single-valued
11. 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
Relational models
Data warehouse
RDBMS
12. A ___ entity has a primary key that is partially or totally derived from the parent entity in the relationship.
Relational models
Weak
Dependency Diagram
Participation
13. A ______ attribute can have only one value.
Candidate
Unary
Dependency
Single-valued
14. For most business transactional databases - we should normalize relations into ____.
(1 - 1)
Information requirements
3NF
Ternary
15. A ___ attribute is one that cannot be subdivided.
Simple
3NF
Multivalued dependencies
Atomicity
16. A ____ relationship exists when three entities are associated.
Ternary
Surrogate
Dependency
RDBMS
17. Data redundancy produces ____.
Data redundancy
Multivalued dependencies
Data integrity problems
(1 - 1)
18. THE MOST LIKELY DATA TYPE FOR A SURROGATE KEY IS ____.
Duplication
Derived attribute
Data warehouse
Numeric
19. From a structural point of view - ______ is better than 1NF
2NF
Prime
Information
Unary
20. 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 ____.
Weak
1NF
Candidate
Determinant
21. ________ cannot be further subdivided.
Atomic attribute
BCNF
Dependency Diagram
Weak
22. Depicts all dependencies found within a given table structure is known as a ______.
Atomic attribute
Dependency Diagram
Transitive dependency
JOB_CHG_HOUR
23. In a ___ diagram - the arrows above the attribute indicate all desirable dependencies.
Dependency
BCNF
Candidate key
Data integrity problems
24. 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.
BCNF
Data redundancy
3NF
Surrogate
25. Dependencies can be identified with the help of a dependency _____.
BCNF
Ternary
Diagram
Domain
26. BCNF can be violated only if the table contains more than one ___ key.
Repeating group
Candidate
Domain
Partial dependencies
27. Improving ___ leads to more flexible queries.
Dependency
Ternary
Atomicity
Unary
28. In order to meet performance requirements - you may have to denormalize portions of the ________.
Ternary
Database design
Associative
4NF
29. An attribute that is part of a key is known as a ____ attribute.
Partial dependencies
Prime
3NF
Three
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
3NF
JOB_CHG_HOUR
BCNF
31. Refers to the level of detail represented by the values stored in a table's row
3NF
Granularity
Entities
Data redundancy
32. If you have three different transitive dependencies - ___ different determinants exist.
Mandatory
Granularity
Three
(min - max)
33. 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.
Binary
Temporary
Denormalization
Diagram
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.
Partial
Partial dependencies
Diagram
1NF
35. Data redundancies occur from ____ of data on every row entry.
3NF
Ternary
Duplication
Normalization
36. The Crow's foot symbol with two parallel lines indicates ___ cardinality.
Surrogate
Detailed narrative
Performance
(1 - 1)
37. A ___ relationship exists when an association is maintained within a single entity.
1NF
Denormalization
Partial dependencies
Unary
38. From a system functionality point of view - ___ attribute values can be calculated when they are needed to write reports or invoices.
Database type
Derived
3NF
Multivalued dependencies
39. The set of possible values for an attribute is a ____.
Granularity
Database design
Domain
Recursive
40. Any attribute whose value determines other values within a row is called ____.
Dependency
Relational models
Domain
Determinant
41. The associative entity is also known as a ___ entity.
Atomic attribute
Strong
Data warehouse
Composite
42. A ___ identifier is composed of more than one attribute.
Entities
Atomic attribute
Composite
Single-valued
43. 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.
Surrogate
Duplication
Participation
Relational table
44. Need not be stored physically in the data base.
Derived attribute
Multivalued dependencies
3NF
Information requirements
45. A table where every determinant is a candidate key is said to be in ____.
3NF
Ternary
Data warehouse
BCNF
46. The ___ refers to a specific table row as an entity instance.
Domain
Denormalization
Repeating group
ERM
47. ____ yields better performance.
Atomic attribute
Denormalization
Participation
Surrogate
48. A table is in BCNF if every determinant in the table is a ____________.
Candidate key
Composite
Associative
Binary
49. The price paid for increased performance through denormalization is a larger amount of ____.
Transitive dependency
ERM
Data redundancy
Temporary
50. A talbe is in 4NF if it is 3NF and has no ________.
Derived attribute
Performance
Multivalued dependencies
BCNF