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