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