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