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