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NEW QUESTION: 1
While troubleshooting a network connectivity problem, a technician observes steady link lights on both the workstation NIC and the switch port to which the workstation is connected. However, when the ping command is issued from the workstation, the output message "Request timed out." is displayed. At which layer of the OSI model does the problem most likely exist?
A. The network layer
B. The session layer
C. The application layer
D. The protocol layer
E. The data link layer
F. The access layer
Answer: A
NEW QUESTION: 2
どの火力プリプロセッサがIPに基づいてトラフィックをブロックしていますか？
A. Policy-Based
B. Signature-Based
C. Reputation-Based
D. Anomaly-Based
Answer: C
Explanation:
Explanation
Access control rules within access control policies exert granular control over network traffic logging and handling. Reputation-based conditions in access control rules allow you to manage which traffic can traverse your network, by contextualizing your network traffic and limiting it where appropriate. Access control rules govern the following types of reputation-based control:
+ Application conditions allow you to perform application control, which controls application traffic based on not only individual applications, but also applications' basic characteristics: type, risk, business relevance, categories, and tags.
+ URL conditions allow you to perform URL filtering, which controls web traffic based on individual websites, as well as websites' system-assigned category and reputation.
The ASA FirePOWER module can perform other types of reputation-based control, but you do not configure these using access control rules. For more information, see:
+ Blacklisting Using Security Intelligence IP Address Reputation explains how to limit traffic based on the reputation of a connection's origin or destination as a first line of defense.
+ Tuning Intrusion Prevention Performance explains how to detect, track, store, analyze, and block the transmission of malware and other types of prohibited files.
Source:
http://www.cisco.com/c/en/us/td/docs/security/firesight/541/firepower-module-user-guide/asa-firepower-module-user-guide-v541/AC-Rules-App-URL-Reputation.html
NEW QUESTION: 3
You have Azure IoT Edge devices that collect measurements every 30 seconds.
You plan to send the measurements to an Azure IoT hub.
You need to process events in the cloud.
What should you use?
A. Azure Machine Learning on the IoT Edge devices
B. Azure Stream Analytics record functions
C. Apache Kafka
D. Azure Stream Analytics windowing functions
Answer: A
Explanation:
Explanation
Use Azure Notebooks to develop a machine learning module and deploy it to a Linux device running Azure IoT Edge.
You can use IoT Edge modules to deploy code that implements your business logic directly to your IoT Edge devices.
References:
https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-machine-learning
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