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