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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.
Relational models
Data integrity problems
Atomicity
Atomic attribute
2. A ___ attribute is one that cannot be subdivided.
Simple
Ternary
1NF
Single-valued
3. ________ cannot be further subdivided.
Atomic attribute
Three
Strong
Composite
4. The Crow's foot symbol with two parallel lines indicates ___ cardinality.
3NF
(1 - 1)
Unary
Simple
5. Another word for existence-independent is ____.
Partial dependencies
Determinant
3NF
Strong
6. A ______ attribute can have only one value.
Single-valued
Denormalization
1NF
Recursive
7. A talbe is in 4NF if it is 3NF and has no ________.
Weak
Multivalued dependencies
Granularity
Ternary
8. The price paid for increased performance through denormalization is a larger amount of ____.
JOB_CHG_HOUR
Table
3NF
Data redundancy
9. A ___ entity has a primary key that is partially or totally derived from the parent entity in the relationship.
Granularity
Weak
Mandatory
Data redundancy
10. When a nonkey attribute is the determinate of a key attribute the table is in 3NF but not ____.
Prime
2NF
Domain
BCNF
11. __________ is a process to help reduce the likelihood of data anomalies.
Normalization
2NF
Data redundancy
Partial
12. A ___________ must not contain a repeating group .
RDBMS
Atomic attribute
Diagram
Relational table
13. THE MOST LIKELY DATA TYPE FOR A SURROGATE KEY IS ____.
Surrogate
Numeric
Data warehouse
Strong
14. 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 ____.
Composite
4NF
Atomic attribute
Temporary
15. 1NF - 2NF - and 3NF are _____.
Unnormalized
BCNF
Normalization stages
Duplication
16. Data redundancies occur from ____ of data on every row entry.
Diagram
Duplication
Denormalization
Unary
17. In a ___ diagram - the arrows above the attribute indicate all desirable dependencies.
Data integrity problems
Dependency
3NF
1NF
18. 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
Relational models
Entities
Repeating group
19. Any attribute whose value determines other values within a row is called ____.
Partial
Determinant
Prime
Weak
20. The word "entity" in the ER model corresponds to a _______.
Dependency
Single-valued
Table
Strong
21. 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
Relational table
RDBMS
Normalization stages
22. An attribute that is part of a key is known as a ____ attribute.
Prime
Ternary
Information
Composite
23. A ____ relationship exists when three entities are associated.
3NF
Unnormalized
Composite
Ternary
24. The associative entity is also known as a ___ entity.
Domain
Dependency Diagram
Composite
Detailed narrative
25. The ___ refers to a specific table row as an entity instance.
BCNF
ERM
Database type
Strong
26. 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
Derived attribute
Performance
2NF
27. The conflicts between design efficiency - ____________ - and processing speed are often resolved through compromised that include denormalization.
4NF
Information requirements
Associative
Derived
28. A table where every determinant is a candidate key is said to be in ____.
Diagram
Table
3NF
BCNF
29. A ___ identifier is composed of more than one attribute.
Composite
Recursive
Weak
Determinant
30. If you have three different transitive dependencies - ___ different determinants exist.
Single-valued
Three
Determinant
4NF
31. 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.
JOB_CHG_HOUR
Database type
Temporary
Multivalued dependencies
32. A _____ entity is composed of the primary keys of each of the entities to be connected.
Recursive
Three
Diagram
Associative
33. Complex ____ requirements may dictate data transformations - and they may expand the number of entities and attributes withing the design.
Surrogate
Multivalued dependencies
RDBMS
Information
34. View the data as part of a table or collection of tables in which all key values must be identified.
Dependency
Normalization stages
Data warehouse
Relational models
35. Dependencies can be identified with the help of a dependency _____.
1NF
Diagram
Detailed narrative
Relational models
36. Depicts all dependencies found within a given table structure is known as a ______.
Dependency
Recursive
Dependency Diagram
Single-valued
37. A ___ relationship exists when two entities are associated.
3NF
Binary
Atomicity
RDBMS
38. A table is in BCNF if every determinant in the table is a ____________.
Candidate key
Data integrity problems
Detailed narrative
3NF
39. Refers to the level of detail represented by the values stored in a table's row
Granularity
Derived
Denormalization
Dependency Diagram
40. In order to meet ___ requirements - you may have to denormalize some portion of the database.
Duplication
Performance
2NF
(min - max)
41. From a structural point of view - ______ is better than 1NF
Relational models
Information requirements
2NF
Surrogate
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.
(1 - 1)
Transitive dependency
Table
Data warehouse
43. ____ yields better performance.
Partial
Multivalued dependencies
Transitive dependency
Denormalization
44. Need not be stored physically in the data base.
Derived attribute
Performance
Single-valued
Data warehouse
45. If an employee within an EMPLOYEE entity has a relationship with itself - that relationship is known as a ____ relationship.
Information
Recursive
Composite
Granularity
46. Normalization represents a micro view of the ___ within the ERD.
Information requirements
3NF
Entities
3NF
47. Data redundancy produces ____.
Recursive
Data redundancy
Performance
Data integrity problems
48. 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.
Database design
Surrogate
Relational models
Ternary
49. 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.
Weak
BCNF
Associative
Participation
50. The existence of a(n) ___ relationship indicated that the minimum cardinality is at least 1 for the mandatory entity.
(1 - 1)
Data warehouse
Associative
Mandatory