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Test your basic knowledge |
Data Modeling
Start Test
Study First
Subject
:
it-skills
Instructions:
Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can
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. A table is in BCNF if every determinant in the table is a ____________.
Partial dependencies
Data warehouse
Duplication
Candidate key
2. 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.
Dependency
Strong
3NF
Surrogate
3. ____ yields better performance.
Performance
Denormalization
1NF
Surrogate
4. In a ___ diagram - the arrows above the attribute indicate all desirable dependencies.
4NF
Detailed narrative
3NF
Dependency
5. The word "entity" in the ER model corresponds to a _______.
Participation
Duplication
Table
Simple
6. ________ cannot be further subdivided.
Partial
Determinant
Atomic attribute
Derived
7. Any attribute whose value determines other values within a row is called ____.
Three
Determinant
Relational models
Domain
8. _______ databases reflect the ever-growing demand for greater scope and depth in the data on which decision support systems increasingly rely.
Data warehouse
Binary
Surrogate
Performance
9. Dependencies based on only a part of a composite primary key are called ___ dependencies.
Associative
Derived attribute
Partial
Unary
10. Data redundancies occur from ____ of data on every row entry.
Duplication
Entities
Temporary
Database type
11. 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 ____.
Database design
Temporary
Prime
4NF
12. Depicts all dependencies found within a given table structure is known as a ______.
Participation
Dependency Diagram
Relational table
Unnormalized
13. 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.
Performance
Domain
Diagram
Temporary
14. A ___ relationship exists when two entities are associated.
Granularity
Duplication
Binary
2NF
15. Another word for existence-independent is ____.
Derived
Strong
(1 - 1)
Atomic attribute
16. A table where every determinant is a candidate key is said to be in ____.
3NF
Entities
BCNF
Data integrity problems
17. Normalization represents a micro view of the ___ within the ERD.
Entities
Granularity
3NF
Diagram
18. Most designers consider the BCNF as a special case of the ____.
Derived attribute
Table
Weak
3NF
19. The Crow's foot symbol with two parallel lines indicates ___ cardinality.
Partial
Information requirements
Recursive
(1 - 1)
20. 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.
Associative
JOB_CHG_HOUR
2NF
Derived attribute
21. In the ERD - Cardinality is indicated using the ___ notation.
Data warehouse
(1 - 1)
(min - max)
Associative
22. A ___ attribute is one that cannot be subdivided.
Simple
4NF
Performance
Denormalization
23. BCNF can be violated only if the table contains more than one ___ key.
(1 - 1)
Candidate
Prime
Ternary
24. The existence of a(n) ___ relationship indicated that the minimum cardinality is at least 1 for the mandatory entity.
Detailed narrative
Mandatory
Unary
Data redundancy
25. In order to meet performance requirements - you may have to denormalize portions of the ________.
Partial
Database design
Information
Prime
26. In order to meet ___ requirements - you may have to denormalize some portion of the database.
Three
Performance
Single-valued
Surrogate
27. Dependencies can be identified with the help of a dependency _____.
Information
Diagram
Composite
Information requirements
28. A ___ identifier is composed of more than one attribute.
Information requirements
Temporary
Composite
Relational models
29. The associative entity is also known as a ___ entity.
Granularity
Unnormalized
Entities
Composite
30. 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.
Partial dependencies
Multivalued dependencies
Transitive dependency
Detailed narrative
31. From a system functionality point of view - ___ attribute values can be calculated when they are needed to write reports or invoices.
Derived
Data warehouse
2NF
Partial dependencies
32. ______________database tables often lead to various data redundancy disasters in production databases.
Dependency Diagram
Unnormalized
Temporary
Atomicity
33. An ERM is not dependent on the ____________.
Database type
Single-valued
Data warehouse
Atomicity
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.
Multivalued dependencies
RDBMS
Duplication
Surrogate
35. If an employee within an EMPLOYEE entity has a relationship with itself - that relationship is known as a ____ relationship.
Recursive
Duplication
Detailed narrative
Unary
36. For most business transactional databases - we should normalize relations into ____.
BCNF
Prime
3NF
Unary
37. 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.
Derived
Domain
Participation
Prime
38. A ___ relationship exists when an association is maintained within a single entity.
Binary
Unary
Temporary
BCNF
39. Data redundancy produces ____.
Data integrity problems
RDBMS
Three
3NF
40. A talbe is in 4NF if it is 3NF and has no ________.
Strong
Multivalued dependencies
Derived attribute
Diagram
41. View the data as part of a table or collection of tables in which all key values must be identified.
Granularity
Diagram
Information requirements
Relational models
42. A ____ relationship exists when three entities are associated.
4NF
Normalization
Participation
Ternary
43. A ___ entity has a primary key that is partially or totally derived from the parent entity in the relationship.
JOB_CHG_HOUR
Recursive
Duplication
Weak
44. Complex ____ requirements may dictate data transformations - and they may expand the number of entities and attributes withing the design.
BCNF
Duplication
4NF
Information
45. If you have three different transitive dependencies - ___ different determinants exist.
Composite
Candidate key
Three
Mandatory
46. A ___________ must not contain a repeating group .
Information
BCNF
Mandatory
Relational table
47. __________ is a process to help reduce the likelihood of data anomalies.
Associative
2NF
Normalization
Granularity
48. 1NF - 2NF - and 3NF are _____.
Partial dependencies
Derived attribute
1NF
Normalization stages
49. THE MOST LIKELY DATA TYPE FOR A SURROGATE KEY IS ____.
Simple
Numeric
Data integrity problems
Granularity
50. Refers to the level of detail represented by the values stored in a table's row
Granularity
Derived
Associative
Derived attribute