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 powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
neural networks & Decision Trees
groves law
average error
performance metrics - Numeric Prediction
2. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
Breakeven analysis
dimension
ERD Modeling
transformation mapping
3. 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.
changing/UPDATE-ing
Association
ERD Modeling
MOLAP
4. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
neural networks & Decision Trees
Transformation
dimension
Fact or Measurement table
5. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
Scope creep
Cartesian
Breakeven analysis
the relationship
6. 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
cascading delete
decile chart
composite semantic objects
7. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
groves law
degrees of summarization
market basket analysis
OLAP
8. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
Insert
Top-down approach
market basket analysis
semantic object (SOL) attribute
9. Which of the following is at the center of a star schema?
groves law
maximum
Referential integrity
Fact or Measurement table
10. The process by which numerical data is converted into graphical images is referred to as:
changing/UPDATE-ing
average error
degrees of summarization
data visualization
11. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
measuring predictive error
Referential integrity
Document Analyzer
changing/UPDATE-ing
12. The SQL built-in functions - which may appear on the same line as the SELECT statement (before the FROM clause) are called _____ functions.
measuring predictive error
machine learning
aggregate
Transformation
13. The product of two tables is also called the ________ product.
ERD Modeling
drill-across report
numeric prediction
Cartesian
14. Are a data mining technology.
measuring predictive error
artificial Key
average error
neural networks & Decision Trees
15. 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)
The degree of granularity
market basket analysis
Count
16. To add a new row to a table - use the _____ command.
Transformation
the relationship
Insert
Horizontal integration
17. ___________ is not a characteristic of a data warehouse.
machine learning
volatile data
recognizing known patterns
data mart
18. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
Horizontal integration
Regression analysis
Scope creep
machine learning
19. Gives us an idea of the magnitude of errors. Actual value - estimated value.
MAE (Mean Absolute Error) deviation
machine learning
the relationship
Group By
20. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
the relationship
Document Analyzer
OLAP
principle component analysis
21. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
recognizing known patterns
UNION
data mart
composite semantic objects
22. ___________ determines exactly what level of detail constitutes a fact record.
Into
The degree of granularity
drill-across report
aggregate
23. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
surrogate key
dimension
changing/UPDATE-ing
data mart
24. The deletion of a record that also deletes related records is referred to as a(n) _____.
semantic object
Regression analysis
cascading delete
maximum
25. 'Signatures' are used for intrusion detection by _______?
data mining
groves law
recognizing known patterns
numeric prediction
26. The minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____
n
changing/UPDATE-ing
Scope creep
decile chart
27. A _____________ is a system-generated primary key.
surrogate key
MOLAP
principle component analysis
dimension
28. 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.
operational and external layer
Insert
lift charts
UNION
29. The SQL command for deleting the Warehouse field from the Part table is _____.
the relationship
ALTER TABLE Part DELETE Warehouse;
lift charts
data visualization
30. Which clause would be used to create groups of records?
Document Analyzer
Cartesian
Group By
Top-down approach
31. 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)
semantic object (SOL) attribute
surrogate key
measuring predictive error
volatile data
32. When an entity has a minimum cardinality of one it means the entity is required in _______.
the relationship
Group By
composite semantic objects
lift charts
33. An ___________ relates two other objects.
Horizontal integration
degrees of summarization
association semantic object
the relationship
34. 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
aggregate
changing/UPDATE-ing
performance metrics - Numeric Prediction
35. Information about tables in the database is kept in the _____.
average error
performance metrics - Numeric Prediction
system catalog
Top-down approach
36. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
performance metrics - Numeric Prediction
database administrator
Association
Cartesian
37. Which function calculates the number of entries in a table?
system catalog
numeric prediction
Count
volatile data
38. ___________________ 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
Association
market basket analysis
operational and external layer
39. Twice as likely to identify the important class (compared to avg. prevalence)
knowledge data discovery
principle component analysis
performance metrics - Numeric Prediction
decile chart
40. A ___________ combines result sets from more than one fact table.
drill-across report
ALTER TABLE Part DELETE Warehouse;
volatile data
composite semantic objects
41. Which function should be used to calculate the total of all entries in a given column?
association semantic object
Sum
data mart
recognizing known patterns
42. _________ 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.
DROP TABLE Salesrep;
Horizontal integration
composite semantic objects
data mart
43. This is not considered one of the four major categories of processing algorithms and rule approaches.
data visualization
maximum
data mining
principle component analysis
44. 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
The degree of granularity
performance metrics - Numeric Prediction
data mart
principle component analysis
45. You can save the results of a query as a table by including the _____ clause in the query.
DROP TABLE Salesrep;
Into
project readiness assessment factor
Horizontal integration
46. An economic feasibility measure. So is Internal rate of return.
data mining
data mart
decile chart
Breakeven analysis
47. These are considered an alternate storage techniques for data warehousing include.
recognizing known patterns
lift charts
Into
near-line secondary storage devices
48. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
semantic object
volatile data
PRIMARY KEY (CustomerNum)
association semantic object
49. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
data mining
transformation mapping
measuring predictive error
dimension
50. Which statement removes the table Salesrep from a DBMS?
Breakeven analysis
market basket analysis
DROP TABLE Salesrep;
Regression analysis
Sorry!:) No result found.
Can you answer 50 questions in 15 minutes?
Let me suggest you:
Browse all subjects
Browse all tests
Most popular tests
Major Subjects
Tests & Exams
AP
CLEP
DSST
GRE
SAT
GMAT
Certifications
CISSP go to https://www.isc2.org/
PMP
ITIL
RHCE
MCTS
More...
IT Skills
Android Programming
Data Modeling
Objective C Programming
Basic Python Programming
Adobe Illustrator
More...
Business Skills
Advertising Techniques
Business Accounting Basics
Business Strategy
Human Resource Management
Marketing Basics
More...
Soft Skills
Body Language
People Skills
Public Speaking
Persuasion
Job Hunting And Resumes
More...
Vocabulary
GRE Vocab
SAT Vocab
TOEFL Essential Vocab
Basic English Words For All
Global Words You Should Know
Business English
More...
Languages
AP German Vocab
AP Latin Vocab
SAT Subject Test: French
Italian Survival
Norwegian Survival
More...
Engineering
Audio Engineering
Computer Science Engineering
Aerospace Engineering
Chemical Engineering
Structural Engineering
More...
Health Sciences
Basic Nursing Skills
Health Science Language Fundamentals
Veterinary Technology Medical Language
Cardiology
Clinical Surgery
More...
English
Grammar Fundamentals
Literary And Rhetorical Vocab
Elements Of Style Vocab
Introduction To English Major
Complete Advanced Sentences
Literature
Homonyms
More...
Math
Algebra Formulas
Basic Arithmetic: Measurements
Metric Conversions
Geometric Properties
Important Math Facts
Number Sense Vocab
Business Math
More...
Other Major Subjects
Science
Economics
History
Law
Performing-arts
Cooking
Logic & Reasoning
Trivia
Browse all subjects
Browse all tests
Most popular tests