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