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