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NEW QUESTION: 1
Which of the following is the best use of a data table? (Choose One)
A. Managing the list of rules that should run when underwriting a policy (approx 30 rules)
B. Managing the effective dates of different discounts (approx 20 discounts each with up to 3 effective dates)
C. Managing the mapping between account levels and discount rates (approx 10 account levels)
D. Managing a list of valid product resolution codes used to describe the resolution of a dispute (approx 20 resolution codes)
Answer: D

NEW QUESTION: 2
システムテーブルを使用して、LOOP AT SCREEN ... ENDLOOPコンストラクトを通じて何を変更できますか？
A. 画面ステータス
B. ボタンの機能コード
C. 画面要素の値
D. 画面要素の属性
Answer: D

NEW QUESTION: 3

A. RSVP
B. policing
C. priority queuing
D. NBAR
Answer: D

NEW QUESTION: 4



What is the status of OS Identification?
A. It is enabled for passive OS fingerprinting for all networks.
B. It is only enabled to identify "Cisco IOS" OS using statically mapped OS fingerprinting
C. OS mapping information will not be used for Risk Rating calculations.
D. It is configured to enable OS mapping and ARR only for the 10.0.0.0/24 network.
Answer: A
Explanation:
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.