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