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