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