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