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