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