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