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Data Modeling
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Subject
:
it-skills
Instructions:
Answer 50 questions in 15 minutes.
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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 ____ 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.
Data integrity problems
Transitive dependency
Normalization
Domain
2. Dependencies can be identified with the help of a dependency _____.
Strong
JOB_CHG_HOUR
Diagram
Participation
3. ______________database tables often lead to various data redundancy disasters in production databases.
Relational table
Associative
Recursive
Unnormalized
4. For most business transactional databases - we should normalize relations into ____.
Database design
Mandatory
(1 - 1)
3NF
5. In order to meet ___ requirements - you may have to denormalize some portion of the database.
4NF
Performance
Partial dependencies
Duplication
6. From a structural point of view - ______ is better than 1NF
2NF
Domain
Recursive
Partial dependencies
7. Data redundancies occur from ____ of data on every row entry.
Data warehouse
Prime
Duplication
BCNF
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.
1NF
Repeating group
Transitive dependency
(1 - 1)
9. Dependencies based on only a part of a composite primary key are called ___ dependencies.
Database type
Partial
Ternary
Unary
10. 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.
Normalization
RDBMS
Relational models
Database type
11. The following step occurs first in the process of building an ERD: create a __________ of the organization's description of operations.
Domain
RDBMS
Detailed narrative
Relational table
12. In a ___ diagram - the arrows above the attribute indicate all desirable dependencies.
Relational table
JOB_CHG_HOUR
Prime
Dependency
13. 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.
Mandatory
Data redundancy
Surrogate
Weak
14. Normalization represents a micro view of the ___ within the ERD.
Entities
Normalization
Derived
Repeating group
15. The associative entity is also known as a ___ entity.
Information
Composite
Derived
1NF
16. An attribute that is part of a key is known as a ____ attribute.
Weak
Prime
1NF
Information
17. ____ yields better performance.
Denormalization
Normalization
Domain
Transitive dependency
18. A table where every determinant is a candidate key is said to be in ____.
Simple
Candidate
Dependency Diagram
BCNF
19. 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 ____.
Table
Dependency Diagram
4NF
1NF
20. A ___ entity has a primary key that is partially or totally derived from the parent entity in the relationship.
Information
Weak
Unary
(1 - 1)
21. A ___ relationship exists when two entities are associated.
RDBMS
Candidate key
Binary
Information requirements
22. Data redundancy produces ____.
Atomic attribute
Weak
Data integrity problems
1NF
23. An ERM is not dependent on the ____________.
Atomic attribute
Normalization stages
Database type
Detailed narrative
24. The set of possible values for an attribute is a ____.
Relational table
Multivalued dependencies
Repeating group
Domain
25. From a system functionality point of view - ___ attribute values can be calculated when they are needed to write reports or invoices.
Temporary
(1 - 1)
Derived
BCNF
26. The word "entity" in the ER model corresponds to a _______.
Table
Data warehouse
Diagram
Atomicity
27. A ___ attribute is one that cannot be subdivided.
BCNF
Simple
RDBMS
Unary
28. The existence of a(n) ___ relationship indicated that the minimum cardinality is at least 1 for the mandatory entity.
BCNF
3NF
Derived attribute
Mandatory
29. 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.
JOB_CHG_HOUR
Partial dependencies
ERM
Detailed narrative
30. When a nonkey attribute is the determinate of a key attribute the table is in 3NF but not ____.
ERM
Transitive dependency
Unnormalized
BCNF
31. 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
Mandatory
Normalization stages
Transitive dependency
32. In the ERD - Cardinality is indicated using the ___ notation.
Duplication
Mandatory
(min - max)
Data integrity problems
33. Any attribute whose value determines other values within a row is called ____.
(1 - 1)
Numeric
Determinant
3NF
34. A ___________ must not contain a repeating group .
Table
Relational table
JOB_CHG_HOUR
Determinant
35. A table is in BCNF if every determinant in the table is a ____________.
Composite
Candidate key
Database design
Derived
36. The price paid for increased performance through denormalization is a larger amount of ____.
Data redundancy
Domain
Unary
Numeric
37. The conflicts between design efficiency - ____________ - and processing speed are often resolved through compromised that include denormalization.
Data redundancy
4NF
Information requirements
Partial dependencies
38. THE MOST LIKELY DATA TYPE FOR A SURROGATE KEY IS ____.
Determinant
Associative
Atomicity
Numeric
39. The ___ refers to a specific table row as an entity instance.
Ternary
(min - max)
ERM
Atomicity
40. Refers to the level of detail represented by the values stored in a table's row
Derived attribute
Denormalization
Domain
Granularity
41. The Crow's foot symbol with two parallel lines indicates ___ cardinality.
Dependency Diagram
Mandatory
(1 - 1)
Participation
42. 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
Domain
Relational table
Dependency
43. Improving ___ leads to more flexible queries.
Associative
Three
BCNF
Atomicity
44. Depicts all dependencies found within a given table structure is known as a ______.
Performance
(1 - 1)
Three
Dependency Diagram
45. A ______ attribute can have only one value.
Table
Entities
2NF
Single-valued
46. Complex ____ requirements may dictate data transformations - and they may expand the number of entities and attributes withing the design.
Determinant
Database design
Multivalued dependencies
Information
47. ________ cannot be further subdivided.
Atomic attribute
Database type
Single-valued
Numeric
48. 1NF - 2NF - and 3NF are _____.
Unary
Transitive dependency
Normalization stages
Dependency
49. View the data as part of a table or collection of tables in which all key values must be identified.
JOB_CHG_HOUR
Ternary
Surrogate
Relational models
50. _______ databases reflect the ever-growing demand for greater scope and depth in the data on which decision support systems increasingly rely.
RDBMS
Associative
Data warehouse
Information
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