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