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