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