How does machine learning improve the effectiveness of anti-malware tools compared to traditional signature-based methods?

It can identify previously unknown malware by learning patterns of malicious behavior

It eliminates the need for any human oversight

It guarantees that no false positives will occur

It only works with known malware signatures

What is the primary purpose of a sandbox in a security context?

To store backup copies of critical data

To provide a decoy system to attract attackers

To isolate and analyze suspicious code without affecting the host system

To block all inbound network traffic

A security operations team is evaluating a new detection tool that uses machine learning to identify anomalies in network traffic. The tool learns normal behavior patterns and alerts on deviations. What is the primary advantage of this approach over traditional signature-based detection?

It can detect previously unknown attacks that do not match known signatures

It guarantees zero false positives

It requires no tuning or configuration

It eliminates the need for human analysts

A security team is evaluating a new AI-based detection tool that uses machine learning to identify anomalies in user behavior. The tool has been in production for a month and is generating a high volume of alerts, many of which are false positives. The team is considering tuning the model. What is the most important consideration when tuning the model to reduce false positives?

Disabling the AI tool and relying on signature-based detection

Increasing the amount of training data

Adding more signatures to the tool

Adjusting the anomaly detection threshold to balance false positives and false negatives

Certified Information Systems Security Professional

Domain 7Objective 7

7.7 - Operate and Maintain Detection and Preventative Measures CISSP Practice Questions (Page 6)

Part of the Security Operations domain, which accounts for 13% of the CISSP exam. ISC2 does not publish an official question count, but from its 180-minute exam (~70–120 total, ~9–16 in this domain), expect 1–1 from this objective — we provide 30 practice questions to prepare you well beyond it. (estimate)

30questions here

6free pages

8concepts

13%of the exam

Questions 26–30

26foundation · easy
How does machine learning improve the effectiveness of anti-malware tools compared to traditional signature-based methods?
Select an answer first
27foundation · easy
What is the primary purpose of a sandbox in a security context?
Select an answer first
28application · medium
A security operations team is evaluating a new detection tool that uses machine learning to identify anomalies in network traffic. The tool learns normal behavior patterns and alerts on deviations. What is the primary advantage of this approach over traditional signature-based detection?
Select an answer first
29expert · hard
A security team is evaluating a new AI-based detection tool that uses machine learning to identify anomalies in user behavior. The tool has been in production for a month and is generating a high volume of alerts, many of which are false positives. The team is considering tuning the model. What is the most important consideration when tuning the model to reduce false positives?
Select an answer first
30foundation · easy
A security tool uses machine learning to establish a baseline of normal network behavior and then flags deviations from that baseline as potential threats. What is this capability called?
Select an answer first

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7.7 - Operate and Maintain Detection and Preventative Measures CISSP Practice Questions (Page 6)

Questions 26–30

How does machine learning improve the effectiveness of anti-malware tools compared to traditional signature-based methods?

What is the primary purpose of a sandbox in a security context?

A security operations team is evaluating a new detection tool that uses machine learning to identify anomalies in network traffic. The tool learns normal behavior patterns and alerts on deviations. What is the primary advantage of this approach over traditional signature-based detection?

A security tool uses machine learning to establish a baseline of normal network behavior and then flags deviations from that baseline as potential threats. What is this capability called?

Keep studying — Security Operations