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