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