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