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