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