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