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