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