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