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