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