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