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