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