/* */
SUBJECTS
|
BROWSE
|
CAREER CENTER
|
POPULAR
|
JOIN
|
LOGIN
Business Skills
|
Soft Skills
|
Basic Literacy
|
Certifications
About
|
Help
|
Privacy
|
Terms
|
Email
Search
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. View the data as part of a table or collection of tables in which all key values must be identified.
Prime
Relational models
Repeating group
Dependency
2. An attribute that is part of a key is known as a ____ attribute.
Prime
Atomicity
(min - max)
Derived
3. In the ERD - Cardinality is indicated using the ___ notation.
Single-valued
Performance
(min - max)
3NF
4. Any attribute whose value determines other values within a row is called ____.
Derived attribute
Determinant
Normalization stages
Database design
5. Need not be stored physically in the data base.
Derived attribute
Denormalization
Three
Temporary
6. The set of possible values for an attribute is a ____.
Domain
Granularity
Recursive
Data redundancy
7. From a structural point of view - ______ is better than 1NF
Recursive
Diagram
2NF
Candidate key
8. 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
Single-valued
Relational models
Atomic attribute
9. The existence of a(n) ___ relationship indicated that the minimum cardinality is at least 1 for the mandatory entity.
Strong
Three
Table
Mandatory
10. 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.
Dependency
Associative
Relational models
Transitive dependency
11. A ___________ must not contain a repeating group .
Weak
3NF
Derived attribute
Relational table
12. A ___ identifier is composed of more than one attribute.
Composite
Data integrity problems
3NF
Transitive dependency
13. Depicts all dependencies found within a given table structure is known as a ______.
4NF
Partial dependencies
Dependency Diagram
Prime
14. 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.
Atomicity
Data redundancy
Partial dependencies
Entities
15. If an employee within an EMPLOYEE entity has a relationship with itself - that relationship is known as a ____ relationship.
Associative
Participation
Recursive
Dependency
16. ____ yields better performance.
Denormalization
Candidate
BCNF
Granularity
17. 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.
Surrogate
Three
Transitive dependency
Determinant
18. For most business transactional databases - we should normalize relations into ____.
Numeric
Derived attribute
3NF
Partial dependencies
19. __________ is a process to help reduce the likelihood of data anomalies.
Normalization
3NF
Granularity
Data redundancy
20. Dependencies based on only a part of a composite primary key are called ___ dependencies.
Derived
Partial
Surrogate
Normalization
21. The conflicts between design efficiency - ____________ - and processing speed are often resolved through compromised that include denormalization.
4NF
Information requirements
Atomic attribute
(1 - 1)
22. THE MOST LIKELY DATA TYPE FOR A SURROGATE KEY IS ____.
BCNF
Numeric
BCNF
Binary
23. Refers to the level of detail represented by the values stored in a table's row
3NF
Granularity
Database design
Entities
24. A table is in BCNF if every determinant in the table is a ____________.
Recursive
Transitive dependency
Simple
Candidate key
25. _______ databases reflect the ever-growing demand for greater scope and depth in the data on which decision support systems increasingly rely.
Atomic attribute
Data warehouse
Relational table
Database type
26. A ____ relationship exists when three entities are associated.
2NF
Ternary
Candidate
Atomicity
27. 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.
Candidate key
Temporary
Dependency Diagram
Granularity
28. A ___ entity has a primary key that is partially or totally derived from the parent entity in the relationship.
Numeric
4NF
Weak
Information requirements
29. ________ cannot be further subdivided.
Atomic attribute
Dependency
Transitive dependency
Duplication
30. Dependencies can be identified with the help of a dependency _____.
Diagram
Weak
Normalization stages
ERM
31. Data redundancy produces ____.
Data integrity problems
ERM
Domain
Unnormalized
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
Surrogate
Domain
3NF
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.
JOB_CHG_HOUR
Partial dependencies
Unary
Transitive dependency
34. Most designers consider the BCNF as a special case of the ____.
Associative
Performance
3NF
Data integrity problems
35. The Crow's foot symbol with two parallel lines indicates ___ cardinality.
(1 - 1)
Partial dependencies
Denormalization
Diagram
36. 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.
Recursive
Surrogate
Numeric
Repeating group
37. Normalization represents a micro view of the ___ within the ERD.
Detailed narrative
Duplication
Normalization stages
Entities
38. Improving ___ leads to more flexible queries.
Unary
Dependency Diagram
Three
Atomicity
39. The following step occurs first in the process of building an ERD: create a __________ of the organization's description of operations.
Relational table
Data warehouse
Normalization stages
Detailed narrative
40. A table that is in 2NF and contains no transitive dependencies is said to be in ___.
JOB_CHG_HOUR
4NF
3NF
Data integrity problems
41. In order to meet performance requirements - you may have to denormalize portions of the ________.
Weak
Candidate
Composite
Database design
42. An ERM is not dependent on the ____________.
Database type
(min - max)
Dependency Diagram
Atomicity
43. In order to meet ___ requirements - you may have to denormalize some portion of the database.
Performance
Relational models
(1 - 1)
BCNF
44. A table where every determinant is a candidate key is said to be in ____.
BCNF
Unnormalized
JOB_CHG_HOUR
Candidate key
45. A ___ relationship exists when an association is maintained within a single entity.
Unary
Domain
4NF
Multivalued dependencies
46. The price paid for increased performance through denormalization is a larger amount of ____.
Candidate
1NF
Data redundancy
ERM
47. BCNF can be violated only if the table contains more than one ___ key.
Candidate
3NF
Table
Data integrity problems
48. Data redundancies occur from ____ of data on every row entry.
Duplication
Relational models
Partial dependencies
Database design
49. A talbe is in 4NF if it is 3NF and has no ________.
Multivalued dependencies
Information requirements
3NF
Duplication
50. A ______ attribute can have only one value.
Relational table
Single-valued
Participation
Performance
//
//