Question 35 (1 point)

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____________ is responsible for keeping the security model up-to-date for better performance by extracting the latest data-driven security patterns

Question 35 options:

	Policy rule generation
	Post-processing and improvement
	Model selection or customization
	Recency mining and updating security model

Question 36 (1 point)

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Which of the following about unsupervised learning is NOT true?

Question 36 options:

	Clustering techniques are used in unsupervised learning
	Unsupervised learning is performed when specific targets are defined
	Unsupervised learning can find patterns in unlabelled data

Question 37 (1 point)

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Which of the following is an example of unsupervised learning?

Question 37 options:

	SVM
	Logitics regression
	K-nearest neighbors
	K-means

Question 38 (1 point)

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_________builds security models based on artificial neural networks consisting of several data processing layers.

Question 38 options:

	Machine learning
	Deep learning
	Threat intelligence
	Artificial intelligence

Question 39 (1 point)

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_________ is mainly responsible to transform raw security data into informative features that effectively represent the underlying security problem to the data-driven models.

Question 39 options:

	Model selection or customization
	Attack classification or prediction
	Security data clustering
	Security feature engineering

Question 40 (1 point)

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A ___________is a simulated attack to exploit weaknesses and vulnerabilities on a system, network, application, website, wireless network, or employees.

Question 40 options:

	vulnerability assessment
	penetration testing
	risk management
	malware analysis