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NEW QUESTION: 1
A 15 year-old high school wrestler has been taking diuretics to loose weight to compete in a lower weight class. Which of the following medical tests is most like to be given?
A. ECG
B. Lab values of Potassium and Sodium
C. CT scan
D. Lab values of glucose and hemoglobin
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Diuretics can disturb the sodium and potassium balance resulting in cardiac complications. An ECG is not indicated without evidence of cardiac conditions.

NEW QUESTION: 2
Scope verification is PRIMARILY concerned with which of the following?
A. Acceptance of the work deliverables.
B. Accuracy of the work deliverables.
C. Accuracy of the work breakdown structure.
D. Approval of the scope statement.
Answer: A

NEW QUESTION: 3
Instructions



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