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