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