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