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