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Test your basic knowledge |
Data Mining
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 term _____ has been generally agreed to represent the broadest category of software technology that enables decision makers to conduct many dimensional analysis of consolidated enterprise data.
The degree of granularity
data mining
OLAP
principle component analysis
2. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
Scope creep
Top-down approach
data mining
recognizing known patterns
3. The _____ operation of two tables results in a single table with the same columns as the first table - and containing all rows that are in the first table merged with all the rows in the second table - minus any duplicate rows.
machine learning
changing/UPDATE-ing
UNION
Count
4. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
Horizontal integration
neural networks & Decision Trees
average error
changing/UPDATE-ing
5. To add a new row to a table - use the _____ command.
Top-down approach
Insert
lift charts
semantic object (SOL) attribute
6. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
dimension
UNION
numeric prediction
semantic object (SOL) attribute
7. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
performance metrics - Numeric Prediction
Association
artificial Key
dimension
8. The process that records how data from operational data stores and external sources are transformed on the way into the warehouse is referred to as ________________.
Referential integrity
numeric prediction
Top-down approach
transformation mapping
9. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
Revoke
Fact or Measurement table
association semantic object
Document Analyzer
10. These are considered an alternate storage techniques for data warehousing include.
numeric prediction
near-line secondary storage devices
PRIMARY KEY (CustomerNum)
cascading delete
11. An analytical-oriented organizational structure is a data warehouse _____________.
project readiness assessment factor
Into
semantic object (SOL) attribute
data mart
12. Which clause would be used to create groups of records?
operational and external layer
Group By
aggregate
Horizontal integration
13. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
Association
volatile data
cascading delete
numeric prediction
14. Gives us an idea of the magnitude of errors. Actual value - estimated value.
MAE (Mean Absolute Error) deviation
Count
Document Analyzer
semantic object
15. The SQL built-in functions - which may appear on the same line as the SELECT statement (before the FROM clause) are called _____ functions.
Horizontal integration
aggregate
market basket analysis
recognizing known patterns
16. Which of the following is at the center of a star schema?
Cartesian
data mart
Fact or Measurement table
transformation mapping
17. The _______________________ represents the source data for the DW. This layer is comprised - primarily - of operational transaction processing systems and external secondary databases.
transformation mapping
operational and external layer
neural networks & Decision Trees
degrees of summarization
18. When an entity has a minimum cardinality of one it means the entity is required in _______.
measuring predictive error
performance metrics - Numeric Prediction
semantic object
the relationship
19. Which function should be used to calculate the total of all entries in a given column?
cascading delete
Sum
recognizing known patterns
transformation mapping
20. The deletion of a record that also deletes related records is referred to as a(n) _____.
cascading delete
neural networks & Decision Trees
ALTER TABLE Part DELETE Warehouse;
degrees of summarization
21. Not the same as goodness-of-fit; We want to know how well the model predicts new data - not how well it fits the data it was trained with; Key component of most measures is difference between actual y and predicted y (error)
Revoke
system catalog
operational and external layer
measuring predictive error
22. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
transformation mapping
maximum
database administrator
drill-across report
23. A synonym for data mining
knowledge data discovery
project readiness assessment factor
operational and external layer
data mining
24. An ___________ relates two other objects.
MOLAP
OLAP
association semantic object
drill-across report
25. An economic feasibility measure. So is Internal rate of return.
changing/UPDATE-ing
operational and external layer
Breakeven analysis
Document Analyzer
26. _________ seeks to ensure that each application under development is fully integrated within its own boundaries and to eliminate any inconsistencies in the final software product.
Horizontal integration
measuring predictive error
Referential integrity
n
27. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
composite semantic objects
Fact or Measurement table
Cartesian
maximum
28. Which function calculates the number of entries in a table?
Count
drill-across report
data mart
average error
29. Generally Semantic Object Modeling (SOM) is consideredmore bottom-up oriented than _____________.
Top-down approach
aggregate
ERD Modeling
groves law
30. Are a data mining technology.
changing/UPDATE-ing
knowledge data discovery
neural networks & Decision Trees
project readiness assessment factor
31. Information about tables in the database is kept in the _____.
performance metrics - Numeric Prediction
artificial Key
system catalog
OLAP
32. A common example of the use of association methods where a retailer can mine the data generated by a point-of-sale system - such as the price scanner you are familiar with at the grocery store is referred to as:
Sum
database administrator
market basket analysis
data visualization
33. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
ERD Modeling
Group By
machine learning
Association
34. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
Association
Referential integrity
MOLAP
UNION
35. A _____________ is a system-generated primary key.
OLAP
changing/UPDATE-ing
surrogate key
system catalog
36. Within most organizations - the person known as the _____ determines the type of access various users can have to the corporate or enterprise database.
Association
Fact or Measurement table
MAE (Mean Absolute Error) deviation
database administrator
37. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
the relationship
database administrator
knowledge data discovery
groves law
38. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
association semantic object
degrees of summarization
cascading delete
Cartesian
39. 'Signatures' are used for intrusion detection by _______?
surrogate key
data mining
recognizing known patterns
cascading delete
40. A ___________ combines result sets from more than one fact table.
drill-across report
Regression analysis
data mining
performance metrics - Numeric Prediction
41. Organizes and analyzes data as an n-dimensional cube. The cube can be thought of as a common spreadsheet with two extensions: (1) support for multiple dimensions and (2) support for multiple concurrent users.
principle component analysis
knowledge data discovery
MOLAP
project readiness assessment factor
42. The SQL command for deleting the Warehouse field from the Part table is _____.
ALTER TABLE Part DELETE Warehouse;
dimension
Fact or Measurement table
association semantic object
43. The process by which numerical data is converted into graphical images is referred to as:
Transformation
data visualization
decile chart
neural networks & Decision Trees
44. Which statement removes the table Salesrep from a DBMS?
average error
Fact or Measurement table
transformation mapping
DROP TABLE Salesrep;
45. This is not considered one of the four major categories of processing algorithms and rule approaches.
Horizontal integration
principle component analysis
Fact or Measurement table
OLAP
46. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
lift charts
Transformation
Referential integrity
Cartesian
47. ___________ determines exactly what level of detail constitutes a fact record.
ERD Modeling
The degree of granularity
surrogate key
numeric prediction
48. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
artificial Key
maximum
semantic object (SOL) attribute
data mart
49. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
system catalog
UNION
degrees of summarization
Top-down approach
50. ___________ is not a characteristic of a data warehouse.
volatile data
UNION
semantic object (SOL) attribute
Insert