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