Please if you are not sure from your answer 100% do not answer the question. Tha

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Please if you are not sure from your answer 100% do not answer the question. Thanks in advance.

A security technician is incorporating the following requirements in an RFP for a new SIEM New security notifications must be dynamically implemented by the SIEM engine. The SIEM must be able to identify traffic baseline anomalies. Anonymous attack data from all customers must augment attack detection and risk scoring Based on the above requirements, which of the following should the SIEM support? (Select TwO Autoscaling search capability Machine learning Big Data analytics Cloud-based management Centralized log aggregation

Explanation / Answer

Machine Learning, anomaly based implementation are also called as heuristic-based in which to detect normal and abnormal operations by creating baseline and thus require M/C learning capabilities for this heuristic based implementation.

Big Data Analytics,  big data tools effectively add a level of context and awareness to security incident

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