• Answer any five questions.
• All questions carry equal marks.
• In case of any doubt or dispute the English version question should be treated as final.
What are the three characteristics of Big Data and what are the main considerations in processing Big Data?
Illustrate the various phases involved in Big Data Analytics with neat diagram. alt=''
Which itemsets satisfy the minimum support of 0.5?
How are interesting rules identified? How are interesting rules distinguished from coincidental rules?
In MapReduce how job scheduling is done in case of the fair scheduler?
Use K-means clustering algorithm to divide the following data into two clusters.
| 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|
| 1 | 1 | 3 | 2 | 5 |
Explain storage mechanism in HBASE.
Draw and explain HDFS Architecture. Explain the functions of NameNode and DataNodes. What is a secondary NameNode. Is it a suitable to the NameNode? alt=''
What R function is used to encode a vector as a category?
What is a rug plot used for in a density plot?
Compare and contrast the terms structured, unstructured and semi-structured data.
What is an analytic sandbox, and why is it important?
Explain how MapReduce in Hadoop used to perform a word count on the specified dataset?
Explain following commands with syntax and one example of each:
i) copyFromLocal in Hadoop
ii) showing the content of output file in Hadoop
Explain: Advantages of Apriori algorithm.
Explain: Linear regression.
Explain: Decision tree.
Explain: Different Naive Bayes classifier.
