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NEW QUESTION: 1
カスタムレポートタイプ（CRT）を使用すると、ユーザーがレポートウィザードでレポートを作成およびカスタマイズできるフレームワークを構築できますが、レポートビルダーでは構築できません。
A. 偽
B. 本当
Answer: A
NEW QUESTION: 2
What is the role of the PollForTask action when it is called by a task runner in AWS Data Pipeline?
A. It is used to receive a task to perform from AWS Data Pipeline.
B. It is used to report the progress of the task runner to AWS Data Pipeline.
C. It is used to inform AWS Data Pipeline of the outcome when the task runner completes a task.
D. It is used to retrieve the pipeline definition.
Answer: A
Explanation:
Explanation
Task runners call PollForTask to receive a task to perform from AWS Data Pipeline. If tasks are ready in the work queue, PollForTask returns a response immediately. If no tasks are available in the queue, PollForTask uses long-polling and holds on to a poll connection for up to 90 seconds, during which time any newly scheduled tasks are handed to the task agent. Your remote worker should not call PollForTask again on the same worker group until it receives a response, and this may take up to 90 seconds.
http://docs.aws.amazon.com/datapipeline/latest/APIReference/API_PollForTask.html
NEW QUESTION: 3
What is the status of OS Identification?
A. It is enabled for passive OS fingerprinting for all networks.
B. OS mapping information will not be used for Risk Rating calculations.
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: A
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.
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