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