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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. 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.
Temporary
Partial dependencies
Granularity
Composite
2. Data redundancy produces ____.
Data integrity problems
Granularity
Information
ERM
3. For most business transactional databases - we should normalize relations into ____.
Ternary
3NF
(1 - 1)
(min - max)
4. Dependencies can be identified with the help of a dependency _____.
Candidate key
Derived attribute
Diagram
Data redundancy
5. A ___ relationship exists when an association is maintained within a single entity.
Dependency
Unary
ERM
Database type
6. In a ___ diagram - the arrows above the attribute indicate all desirable dependencies.
Prime
Dependency
Performance
3NF
7. A ___ attribute is one that cannot be subdivided.
Detailed narrative
Data warehouse
Data redundancy
Simple
8. Data redundancies occur from ____ of data on every row entry.
(1 - 1)
Database design
Normalization stages
Duplication
9. A table is in BCNF if every determinant in the table is a ____________.
Surrogate
Numeric
Ternary
Candidate key
10. Any attribute whose value determines other values within a row is called ____.
Partial
Participation
Determinant
Entities
11. A ___________ must not contain a repeating group .
Simple
Data warehouse
Data redundancy
Relational table
12. A ____ relationship exists when three entities are associated.
(1 - 1)
Temporary
Ternary
Partial dependencies
13. An ERM is not dependent on the ____________.
Surrogate
Detailed narrative
Normalization
Database type
14. An attribute that is part of a key is known as a ____ attribute.
Prime
Ternary
Information
Database type
15. The word "entity" in the ER model corresponds to a _______.
Normalization stages
RDBMS
Dependency Diagram
Table
16. When a nonkey attribute is the determinate of a key attribute the table is in 3NF but not ____.
Mandatory
BCNF
Partial dependencies
Associative
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.
Denormalization
Participation
Normalization stages
JOB_CHG_HOUR
18. 1NF - 2NF - and 3NF are _____.
Denormalization
Partial
Normalization stages
Performance
19. THE MOST LIKELY DATA TYPE FOR A SURROGATE KEY IS ____.
Recursive
Numeric
Temporary
Diagram
20. 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.
Strong
Repeating group
Relational table
Ternary
21. 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.
Repeating group
Strong
Unnormalized
Surrogate
22. 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
Participation
3NF
Transitive dependency
23. Most designers consider the BCNF as a special case of the ____.
Table
Composite
Performance
3NF
24. 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.
Partial dependencies
Temporary
Multivalued dependencies
Three
25. In order to meet ___ requirements - you may have to denormalize some portion of the database.
Strong
Performance
Temporary
ERM
26. ____ yields better performance.
Dependency Diagram
Denormalization
Dependency
Ternary
27. A _____ entity is composed of the primary keys of each of the entities to be connected.
Unary
4NF
3NF
Associative
28. If you have three different transitive dependencies - ___ different determinants exist.
Data warehouse
Numeric
Three
Strong
29. In the ERD - Cardinality is indicated using the ___ notation.
Diagram
(min - max)
Derived attribute
Composite
30. The conflicts between design efficiency - ____________ - and processing speed are often resolved through compromised that include denormalization.
(1 - 1)
BCNF
Information requirements
Entities
31. A ___ relationship exists when two entities are associated.
Candidate key
Data redundancy
Composite
Binary
32. The following step occurs first in the process of building an ERD: create a __________ of the organization's description of operations.
Partial
Relational models
Detailed narrative
Prime
33. Normalization represents a micro view of the ___ within the ERD.
Normalization
Relational table
Unary
Entities
34. Depicts all dependencies found within a given table structure is known as a ______.
Associative
Normalization
Dependency Diagram
BCNF
35. The existence of a(n) ___ relationship indicated that the minimum cardinality is at least 1 for the mandatory entity.
Information
Mandatory
Composite
Binary
36. Refers to the level of detail represented by the values stored in a table's row
ERM
Data integrity problems
Granularity
Candidate
37. 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.
Unary
Information
Relational models
Transitive dependency
38. Another word for existence-independent is ____.
Strong
Repeating group
Granularity
Domain
39. 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.
2NF
Candidate key
Atomicity
Participation
40. From a system functionality point of view - ___ attribute values can be calculated when they are needed to write reports or invoices.
Derived
Normalization
Single-valued
Transitive dependency
41. A ______ attribute can have only one value.
Derived attribute
Single-valued
Unnormalized
Partial
42. In order to meet performance requirements - you may have to denormalize portions of the ________.
Participation
Surrogate
Weak
Database design
43. From a structural point of view - ______ is better than 1NF
Numeric
Participation
2NF
Performance
44. Need not be stored physically in the data base.
Derived attribute
Information
Simple
Strong
45. __________ is a process to help reduce the likelihood of data anomalies.
Normalization
Three
Diagram
1NF
46. The set of possible values for an attribute is a ____.
Simple
Domain
Normalization
Database type
47. A ___ entity has a primary key that is partially or totally derived from the parent entity in the relationship.
Weak
Domain
Prime
Participation
48. ________ cannot be further subdivided.
Recursive
Associative
Database design
Atomic attribute
49. Improving ___ leads to more flexible queries.
Atomicity
BCNF
Unary
ERM
50. If an employee within an EMPLOYEE entity has a relationship with itself - that relationship is known as a ____ relationship.
Temporary
Numeric
Normalization
Recursive