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