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