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Data Mining MCQ

The process of extracting information to identify patterns, trends, and useful data that would allow the business to take the data-driven decision from a huge set of data is called data mining. It can also be defined as the process of discovering meaningful new correlations, patterns, and trends by mining large amounts of data stored in the warehouse using artificial intelligence, statistical and mathematical techniques.

Need of Data Mining

As we know today, the growth of data is moving from terabyte to petabyte, hence storing that data and getting some useful information from that data is the process of data mining.

Technologies Used in Data Mining

  • Machine learning
  • Pattern recognition
  • Statistics
  • Visualization

 

Useful Resources

Data Mining Projects
Data Mining Tools
Data Mining Applications

Data Mining MCQs

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1. 

Identify the term used to define the task of inferring a model from labeled training data.

2. 

Under which of the following do self-organizing maps lie.

3. 

Is discrimination between spam and ham emails a classification task?

4. 

Identify the incorrect option among the following which is not involved in data mining.

5. 

Identify the correct options which are considered before investing in data mining.

6. 

State whether True or False: Data warehouse is generally updated in real-time.

7. 

What does OLTP stand for?

8. 

Identify the correct option which defines Datamart.

9. 

Where is data warehousing used?

10. 

Identify the options below that a data warehouse can include.

11. 

ETL stands for ____________

12. 

Identify among the following for which system of data warehousing is mostly used.

13. 

Small logical units where data warehouses hold large amounts of data is known as _____

14. 

Identify the main characteristic of OLTP.

15. 

Under which of the following does the pattern evaluation issue fall?

16. 

Use of ODS is?

17. 

Why is the snowflake schema applied?

19. 

Identify the type of relationship between fact and dimension table in a star schema.

20. 

Choose the incorrect property of the data warehouse.

21. 

Identify the operation which can be performed in the data warehouse.

22. 

Choose the application-oriented system among the following.

23. 

On what is data warehouse based?

24. 

Identify the term used to define the multidimensional model of the data warehouse.

25. 

DSS in data warehouse stands for _____________.

26. 

What is the time horizon in the data warehouse?

27. 

What is held in the catalog of the warehouse database system?

28. 

Which of the following maps the core warehouse metadata to business concepts, familiar and useful to end-users.

29. 

Total fact table the star schema is composed of?

30. 

What is the time horizon in an operational environment?

31. 

Where can the data be updated?

32. 

What is the source of all data warehouse data known as?

33. 

What is the percent of data redundancy between environments?

34. 

Identify the test used in an online transactional processing environment.

35. 

A good alternative to the star schema is?

36. 

Fact tables are __________.

37. 

Identify the correct definition of Reconciled data.

38. 

Identify the correct definition of multifield transformation.

39. 

Identify the most common source of change data in refreshing a data warehouse.

40. 

What is a query tool generally used for?

41. 

Who is responsible for running queries and reports against data warehouse tables?

42. 

From where are classification rules extracted?

43. 

Identify the method for incremental conceptual clustering.

44. 

 What is the full form of KDD?

45. 

What is the process of removing the deficiencies and loopholes in the data called?

46. 

___________ is data about data

47. 

How many categories of functions are involved in data mining?

48. 

How many approaches are there in data warehousing to integrate heterogeneous databases?

49. 

What does data mining system classification consist of?

50. 

What does DMQL stand for?

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