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