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