E20-065 Questions | Free Practice E20-065 Dumps & Exam Prep

Question No 1

In multinomial logistic regression, what is used to calculate the probability of outcome occurring?

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Logistic function applied to a linear combination of the input and outcome variables

Linear regression applied to a combination of input variables

Linear regression applied to a combination of input and outcome variables

Logistic function applied to a linear combination of the input variables

Question No 2

What is a characteristic of spark?

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Unable to run map - > reduce execution plans

Supports applications written in Python, Java, and Scala

Less efficient processing small files than Hadoop MapReduce

Supports workflows that can return to previous work steps

Question No 3

In a connected, undirected graph of 5 nodes with 10 edges, how many more edges need to be added to make the clustering coefficient of every node equal 1?

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Question No 4

Which metric would be most helpful in identifying a node that may cause network disruption if the node were removed?

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Question No 5

The naive Bayer classifier is trained over 1600 movie reviews and then tested over 400 reviews. Here is the resulting confusion matrix: 190 (TP) 10(FN) 80 (FP) 120(TN) What are the precision, recall, and the F1 - score values?

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Precision0.95; Recall: 0704; F1 - score: 0.809

Precision 0.613, Recall: 0.95, F1 - score: 0.745

Precision 0.704, Recall: 0.95; F1 - score: 0.809

Precision 0.95; Recall: 0.613; F1 - score: 0.745

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