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