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