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