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