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