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NEW QUESTION: 1
Which one of the following describes the key advantage of the manual system of accounting?
A. A thorough understanding of the business can be gained through it.
B. The quality of output is not necessarily an issue.
C. Corrections are easily managed as updating or recreating the whole document is not difficult.
D. Processing is maintained at a reasonable speed even while dealing with large volumes of data.
Answer: A
NEW QUESTION: 2
Which is the CORRECT activity to carry out the "How do we get there" phase of the Continual Service
improvement approach?
A. Service and process improvement
B. Measurable targets
C. Policy and governance review
D. Baseline assessments
Answer: A
NEW QUESTION: 3
대규모 건설 프로젝트를 관리하고 있습니다. 두 명의 팀원은 장비의 지속적인 유지 보수를 처리하는 방법에 대해 서로 의견이 상충합니다. 이 상황에서 가장 먼저해야 할 일은 무엇입니까?
A. 팀원과 만나 의견 불일치의 원인을 파악하십시오.
B. 팀원 석방
C. 팀원에게 변경 요청을 작성하도록 요청하십시오.
D. 팀원에게 문제를 스스로 해결하도록 지시하십시오.
Answer: A
NEW QUESTION: 4
What is the status of OS Identification?
A. It is only enabled to identify "Cisco IOS" OS using statically mapped OS fingerprinting
B. OS mapping information will not be used for Risk Rating calculations.
C. It is enabled for passive OS fingerprinting for all networks.
D. It is configured to enable OS mapping and ARR only for the 10.0.0.0/24 network.
Answer: C
Explanation:
Understanding Passive OS Fingerprinting
Passive OS fingerprinting lets the sensor determine the OS that hosts are running. The sensor analyzes network traffic
between hosts and stores the OS of these hosts with their IP addresses. The sensor inspects TCP SYN and SYNACK
packets exchanged on the network to determine the OS type.
The sensor then uses the OS of the target host OS to determine the relevance of the attack to the victim by computing
the attack relevance rating component of the risk rating. Based on the relevance of the attack, the sensor may alter
the risk rating of the alert for the attack and/or the sensor may filter the alert for the attack. You can then use the risk
rating to reduce the number of false positive alerts (a benefit in IDS mode) or definitively drop suspicious packets (a
benefit in IPS mode). Passive OS fingerprinting also enhances the alert output by reporting the victim OS, the source
of the OS identification, and the relevance to the victim OS in the alert.
Passive OS fingerprinting consists of three components:
*Passive OS learning
Passive OS learning occurs as the sensor observes traffic on the network. Based on the characteristics of TCP SYN and
SYNACK packets, the sensor makes a determination of the OS running on the host of the source IP address.
*User-configurable OS identification
You can configure OS host mappings, which take precedence over learned OS mappings.
*Computation of attack relevance rating and risk rating.