Data mining and Big data analytics Mix MCQs

Data Mining and Big Data Analytics MCQs

1. What does the term "Big Data" refer to?

2. In data mining, what does 'classification' mean?

3. Which 'V' of Big Data refers to the diverse types and forms of data?

4. What is the purpose of 'clustering' in data mining?

5. Which of the following frameworks is commonly used in Big Data for distributed storage and processing?

6. Which 'V' in Big Data represents the speed at which data is processed?

7. What is 'data wrangling' in data mining?

8. Which data mining technique is commonly used for classification purposes?

9. Which Big Data technology is widely used for distributed data processing and is known for its speed?

10. What is 'predictive analytics' in data mining?

11. Which technique in data mining is used to identify data points that significantly deviate from others in a data set?

12. Which programming model is commonly associated with processing large data sets in Big Data?

13. What is 'association rule mining' used for in data mining?

14. Which Big Data technology is primarily used as a data warehouse for managing and querying large datasets?

15. What is the primary benefit of using Big Data analytics for organizations?

16. Which algorithm is widely used in clustering to group data points based on feature similarity?

17. Which 'V' in Big Data refers to the accuracy, trustworthiness, and reliability of data?

18. Which data mining technique is used to identify patterns in data that do not match the expected behavior?

19. Which type of database is preferred in Big Data environments for handling unstructured data?

20. In the Hadoop ecosystem, which component is responsible for the storage of large datasets across distributed servers?

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