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