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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. Which clause would be used to create groups of records?
Transformation
Group By
MAE (Mean Absolute Error) deviation
Top-down approach
2. ___________________ is used to relate one set of outcomes (dependent variable) to a set of predictor (independent) variables (e.g. - in time series analysis). Through this analysis we attempt to predictive future events - as the dependent variables b
Regression analysis
neural networks & Decision Trees
project readiness assessment factor
volatile data
3. You can save the results of a query as a table by including the _____ clause in the query.
Into
Scope creep
Referential integrity
Sum
4. A ___________ combines result sets from more than one fact table.
Count
MAE (Mean Absolute Error) deviation
Into
drill-across report
5. An analytical-oriented organizational structure is a data warehouse _____________.
project readiness assessment factor
data mining
Horizontal integration
Count
6. 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.
MOLAP
Association
semantic object (SOL) attribute
project readiness assessment factor
7. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
semantic object
Sum
system catalog
DROP TABLE Salesrep;
8. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
Breakeven analysis
decile chart
numeric prediction
project readiness assessment factor
9. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
transformation mapping
PRIMARY KEY (CustomerNum)
Group By
machine learning
10. 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.
OLAP
MAE (Mean Absolute Error) deviation
near-line secondary storage devices
Association
11. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
numeric prediction
dimension
Transformation
composite semantic objects
12. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
OLAP
measuring predictive error
knowledge data discovery
Scope creep
13. 'Signatures' are used for intrusion detection by _______?
decile chart
recognizing known patterns
dimension
neural networks & Decision Trees
14. To add a new row to a table - use the _____ command.
degrees of summarization
Insert
changing/UPDATE-ing
operational and external layer
15. A synonym for data mining
volatile data
cascading delete
knowledge data discovery
neural networks & Decision Trees
16. Which statement removes the table Salesrep from a DBMS?
DROP TABLE Salesrep;
Group By
market basket analysis
operational and external layer
17. These are considered an alternate storage techniques for data warehousing include.
the relationship
near-line secondary storage devices
dimension
n
18. A single column that you create for an entity to serve as the primary key - because you otherwise would need many concatenated columns to do so - is called a(n) ____________.
machine learning
artificial Key
cascading delete
neural networks & Decision Trees
19. The deletion of a record that also deletes related records is referred to as a(n) _____.
cascading delete
knowledge data discovery
surrogate key
volatile data
20. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
volatile data
Cartesian
performance metrics - Numeric Prediction
Association
21. R- squared(and adjusted r-squared) - A measure of how much of the variability around the target mean is explained by your predictive variables. Doesn't mean you have a good predictive model—only validation will tell you that
Document Analyzer
Group By
The degree of granularity
performance metrics - Numeric Prediction
22. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
Transformation
measuring predictive error
numeric prediction
average error
23. This is not considered one of the four major categories of processing algorithms and rule approaches.
data mining
PRIMARY KEY (CustomerNum)
principle component analysis
Insert
24. The process by which numerical data is converted into graphical images is referred to as:
machine learning
data visualization
aggregate
semantic object
25. A compound semantic object is an object that contains at least one ____.
DROP TABLE Salesrep;
degrees of summarization
Count
semantic object (SOL) attribute
26. 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.
Regression analysis
UNION
project readiness assessment factor
n
27. Gives us an idea of the magnitude of errors. Actual value - estimated value.
artificial Key
MAE (Mean Absolute Error) deviation
composite semantic objects
Regression analysis
28. Which function calculates the number of entries in a table?
Count
groves law
semantic object (SOL) attribute
maximum
29. A _____________ is a system-generated primary key.
surrogate key
degrees of summarization
Document Analyzer
artificial Key
30. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
Regression analysis
data mart
surrogate key
association semantic object
31. ___________ determines exactly what level of detail constitutes a fact record.
OLAP
semantic object (SOL) attribute
maximum
The degree of granularity
32. An economic feasibility measure. So is Internal rate of return.
average error
dimension
Breakeven analysis
MOLAP
33. The minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____
n
MAE (Mean Absolute Error) deviation
surrogate key
near-line secondary storage devices
34. Information about tables in the database is kept in the _____.
market basket analysis
principle component analysis
system catalog
association semantic object
35. Generally Semantic Object Modeling (SOM) is consideredmore bottom-up oriented than _____________.
The degree of granularity
ERD Modeling
numeric prediction
Insert
36. 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 ________________.
transformation mapping
neural networks & Decision Trees
project readiness assessment factor
lift charts
37. Twice as likely to identify the important class (compared to avg. prevalence)
decile chart
Fact or Measurement table
transformation mapping
PRIMARY KEY (CustomerNum)
38. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
degrees of summarization
PRIMARY KEY (CustomerNum)
drill-across report
near-line secondary storage devices
39. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
groves law
database administrator
OLAP
maximum
40. The SQL command for deleting the Warehouse field from the Part table is _____.
performance metrics - Numeric Prediction
ALTER TABLE Part DELETE Warehouse;
changing/UPDATE-ing
data visualization
41. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
drill-across report
Into
surrogate key
composite semantic objects
42. Which statement will take away user privileges to the database?
DROP TABLE Salesrep;
Breakeven analysis
neural networks & Decision Trees
Revoke
43. Which function should be used to calculate the total of all entries in a given column?
Into
Sum
Cartesian
PRIMARY KEY (CustomerNum)
44. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
Sum
OLAP
operational and external layer
Top-down approach
45. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
performance metrics - Numeric Prediction
Document Analyzer
system catalog
artificial Key
46. When an entity has a minimum cardinality of one it means the entity is required in _______.
knowledge data discovery
degrees of summarization
the relationship
Revoke
47. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
changing/UPDATE-ing
project readiness assessment factor
degrees of summarization
Fact or Measurement table
48. ___________ is not a characteristic of a data warehouse.
volatile data
Scope creep
transformation mapping
Cartesian
49. Which of the following is at the center of a star schema?
Referential integrity
recognizing known patterns
The degree of granularity
Fact or Measurement table
50. The product of two tables is also called the ________ product.
OLAP
decile chart
MAE (Mean Absolute Error) deviation
Cartesian