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NEW QUESTION: 1
You are given 10, 000, 000 user profile pages of an online dating site in XML files, and they are stored in HDFS. You are assigned to divide the users into groups based on the content of their profiles. You have been instructed to try K-means clustering on this data. How should you proceed?
A. Partition the data by XML file size,and run K-means clustering in each partition.
B. Run MapReduce to transform the data,and find relevant key value pairs.
C. Run a Naive Bayes classification as a pre-processing step in HDFS.
D. Divide the data into sets of 1,000 user profiles,and run K-means clustering in RHadoop iteratively.
Answer: B

NEW QUESTION: 2
Your network environment includes a Microsoft Visual Studio Team Foundation Server
(TFS) 2012 server.
A user places a large shelveset on the TFS server.
You need to delete the shelveset.
What should you do?
A. Use the tf shelvesets command with the /delete parameter.
B. Use the tf shelve command with the /move parameter.
C. Use the tf unshelve command with the /delete parameter.
D. Use the tf shelve command with the /delete parameter.
Answer: D

NEW QUESTION: 3
What will the $array array contain at the end of this script?
1 <?php
2 function modifyArray (&$array)
3 {
4 foreach ($array as &$value)
5 {
6 $value = $value + 1;
7 }
8
9 $value = $value + 2;
1 0 }
1 1
1 2 $array = array (1, 2, 3);
1 3 modifyArray($array);
1 4 ?>
A. 4, 5, 6
B. 2, 3, 4
C. 2, 3, 6
D. 1, 2, 3
Answer: C