QuestionQ33

VerifiedML, UEBA, and ZTNA

Refer to the exhibit.

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An analyst wants to run a KMeans machine learning (ML) job on this data. How many N clusters would be a good fit for the data?

Explanation

KMeans partitions data into a specified number of groups by minimizing within-cluster distance and maximizing separation between clusters. The observations form two distinct, widely separated groups, so two clusters provide an appropriate fit.

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