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