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