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