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