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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. _________ 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.
transformation mapping
Sum
neural networks & Decision Trees
Horizontal integration
2. Which function should be used to calculate the total of all entries in a given column?
Sum
ALTER TABLE Part DELETE Warehouse;
principle component analysis
OLAP
3. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
Horizontal integration
market basket analysis
data visualization
semantic object
4. Are a data mining technology.
neural networks & Decision Trees
the relationship
The degree of granularity
data visualization
5. Information about tables in the database is kept in the _____.
principle component analysis
OLAP
the relationship
system catalog
6. A _____________ is a system-generated primary key.
knowledge data discovery
Insert
degrees of summarization
surrogate key
7. You can save the results of a query as a table by including the _____ clause in the query.
neural networks & Decision Trees
performance metrics - Numeric Prediction
Horizontal integration
Into
8. Which statement will take away user privileges to the database?
Horizontal integration
Revoke
database administrator
lift charts
9. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
Document Analyzer
semantic object
Fact or Measurement table
operational and external layer
10. A compound semantic object is an object that contains at least one ____.
semantic object (SOL) attribute
decile chart
machine learning
neural networks & Decision Trees
11. 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 ________________.
data mart
transformation mapping
Regression analysis
machine learning
12. The product of two tables is also called the ________ product.
measuring predictive error
Association
Cartesian
Count
13. Within most organizations - the person known as the _____ determines the type of access various users can have to the corporate or enterprise database.
transformation mapping
market basket analysis
database administrator
Document Analyzer
14. 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)
maximum
recognizing known patterns
measuring predictive error
changing/UPDATE-ing
15. These are considered an alternate storage techniques for data warehousing include.
near-line secondary storage devices
Revoke
ALTER TABLE Part DELETE Warehouse;
Horizontal integration
16. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
maximum
data visualization
machine learning
UNION
17. To create the primary key clause for the Customer table on the CustomerNum field - which of the following is the correct statement?
Group By
PRIMARY KEY (CustomerNum)
artificial Key
maximum
18. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
recognizing known patterns
n
transformation mapping
changing/UPDATE-ing
19. The SQL command for deleting the Warehouse field from the Part table is _____.
Into
composite semantic objects
ALTER TABLE Part DELETE Warehouse;
measuring predictive error
20. ___________ is not a characteristic of a data warehouse.
Count
n
volatile data
principle component analysis
21. The SQL built-in functions - which may appear on the same line as the SELECT statement (before the FROM clause) are called _____ functions.
Group By
aggregate
semantic object
Into
22. 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
data visualization
Into
MAE (Mean Absolute Error) deviation
23. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
OLAP
Transformation
database administrator
Document Analyzer
24. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
machine learning
drill-across report
Top-down approach
lift charts
25. An economic feasibility measure. So is Internal rate of return.
transformation mapping
market basket analysis
UNION
Breakeven analysis
26. The process by which numerical data is converted into graphical images is referred to as:
Breakeven analysis
PRIMARY KEY (CustomerNum)
data visualization
surrogate key
27. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
Scope creep
Regression analysis
performance metrics - Numeric Prediction
decile chart
28. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
Sum
principle component analysis
Horizontal integration
dimension
29. 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.
n
principle component analysis
transformation mapping
UNION
30. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
Association
performance metrics - Numeric Prediction
The degree of granularity
Referential integrity
31. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
ALTER TABLE Part DELETE Warehouse;
Insert
volatile data
average error
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:
decile chart
average error
market basket analysis
Horizontal integration
33. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
ERD Modeling
numeric prediction
measuring predictive error
drill-across report
34. When an entity has a minimum cardinality of one it means the entity is required in _______.
the relationship
database administrator
measuring predictive error
data mart
35. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
cascading delete
maximum
data visualization
performance metrics - Numeric Prediction
36. This is not considered one of the four major categories of processing algorithms and rule approaches.
artificial Key
OLAP
principle component analysis
machine learning
37. The deletion of a record that also deletes related records is referred to as a(n) _____.
OLAP
data mart
cascading delete
performance metrics - Numeric Prediction
38. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
surrogate key
artificial Key
knowledge data discovery
data mart
39. Which clause would be used to create groups of records?
numeric prediction
ERD Modeling
MAE (Mean Absolute Error) deviation
Group By
40. An ___________ relates two other objects.
recognizing known patterns
Association
association semantic object
Horizontal integration
41. Twice as likely to identify the important class (compared to avg. prevalence)
n
decile chart
Regression analysis
DROP TABLE Salesrep;
42. Generally Semantic Object Modeling (SOM) is consideredmore bottom-up oriented than _____________.
surrogate key
n
ERD Modeling
recognizing known patterns
43. A ___________ combines result sets from more than one fact table.
aggregate
semantic object (SOL) attribute
drill-across report
data mart
44. ___________ determines exactly what level of detail constitutes a fact record.
aggregate
n
decile chart
The degree of granularity
45. 'Signatures' are used for intrusion detection by _______?
Sum
data mining
PRIMARY KEY (CustomerNum)
recognizing known patterns
46. ___________________ 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
measuring predictive error
Cartesian
DROP TABLE Salesrep;
Regression analysis
47. Which of the following is at the center of a star schema?
surrogate key
Group By
Fact or Measurement table
groves law
48. To add a new row to a table - use the _____ command.
Count
PRIMARY KEY (CustomerNum)
Insert
cascading delete
49. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
ERD Modeling
n
data mining
machine learning
50. The _______________________ represents the source data for the DW. This layer is comprised - primarily - of operational transaction processing systems and external secondary databases.
operational and external layer
Fact or Measurement table
Regression analysis
maximum