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