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