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