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Bigdata Practice Test: Data Analytics with R/Weka Machine Learning
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Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization.

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Bigdata Practice Test: Data Analytics with R/Weka Machine Learning
Time left 00:00
25 Questions

1. Which of the following can be used to create sub–samples using a maximum dissimilarity approach?
2. The unit of data that flows through a Flume agent is
3. Which of the following function provides unsupervised prediction ?
4. Which of the following is correct skills for a Data Scientist?
5. Which of the following is a categorical outcome?
6. Which of the following is false?
7. Which of the following is a subset of machine learning?
8. File containing R scripts end with extension _______.
9. What is the work of Data Architect?
10. Point out the correct statement.
11. Which of the following model is usually a gold standard for data analysis?
12. ______ is the term that is used to describe data that is high volume , high velocity and /or high variety.
13. The new source of big data that will trigger a Big Data revolution in the years to come is?
14. Which of the following is the common goal of statistical modelling?
15. Which of the following is correct skills for a Data Scientist?
16. What is the work of Data Architect?
17. ML is a field of AI consisting of learning algorithms that?
18. __________ has the world’s largest Hadoop cluster.
19. According to analysts, for what can traditional IT systems provide a foundation when they’re integrated with big data technologies like Hadoop?
20. Which of the following are correct component for data science?
21. Which of the following is not a part of data science process?
22. ________ Programming language is dialect of S.
23. Which of the following is not a application for data science?
24. Who popularized bigdata term?
25. Data science is the process of diverse set of data through ?