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What is a random subspace of features, as used by Random Forests?
A. A random subset of features that are chosen at each split in the decision tree.
B. Filtration of data that does not meet a pre-defined weighting thrsehold.
C. The creation of out-of-bag (OOB) data that is used to select features.
D. Removal of highly correlated variables to randomize the features.
Which metric would be most helpful in identifying a node that may cause network disruption if the node were removed?
Which graph structure would best model the relationship between job seekers and employers?
C. Directed acyclic
What is an effective use of color in visualization?
A. Use self-explanatory colors so a legend is unnecessary.
B. Maximize use of color to make a more lasting impression.
C. Use high contrast colors such as red and blue.
D. Minimize use of color except for emphasis.
How can you improve processing performance in HIVE?
A. Partition tables.
B. Run the SET hive.exec.parallel = false command.
C. Ensure highly normalized tables and use joins.
D. Minimize bucketing.
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