Data Mining Interview Questions and Answers for beginners & experienced free download

1. Differentiate between Data Mining and Data warehousing.
2. What is Data purging?
3. What are CUBES?
4. What are OLAP and OLTP?
5. What are the different problems that “Data mining” can solve?
6. What are different stages of “Data mining”?
7. What is Discrete and Continuous data in Data mining world?
8. What is MODEL in Data mining world?
9. How does the data mining and data warehousing work together?
10. What is a Decision Tree Algorithm?
11. What is Naive Bayes Algorithm?
12. What is Time Series algorithm in data mining?
13. Explain Association algorithm in Data mining.
14. What is Sequence clustering algorithm?
15. Explain the concepts and capabilities of data mining.
16. Explain how to work with the data mining algorithms included in SQL Server data mining.
17. Explain how to use DMX-the data mining query language.
18. Explain how to mine an OLAP cube.
19. What are the different ways of moving data/databases between servers and databases in SQL Server?
20. Describe how DTS is used to extract, transform and consolidate data.
21. What is built-in function? Explain its type i.e. Rowset, Aggregate and scalar.
22. What are the benefits of User-Defined Functions?
23. Explain clustering algorithm.