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