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