For machine learning to be applied effectively toward security analysis automation, it requires __________.
A. relevant training data.
B. a threat feed API.
C. a multicore, multiprocessor system.
D. anomalous traffic signatures.
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the correct answer is A.:
Machine learning algorithms need to be trained on a large dataset of labeled data in order to be effective. In the case of security analysis automation, the training data would need to include examples of both normal and malicious behavior. Anomalous traffic signatures (D) can be used to identify suspicious activity, but they are not sufficient for machine learning to be effective.