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