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