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