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