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