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NEW QUESTION: 1
Refer to the exhibit. Which lines represent an I/O connection running at a 20ms RPI?

A. 2922, 2929, 2935
B. 2914, 2915, 2916
C. 2920, 2926, 2929
D. 2919, 2923, 2926
Answer: D

NEW QUESTION: 2
Windows Server 2016を実行するServer1という名前のサーバーがあります。
Windows Server 2016のイメージをC：Folder1にマウントします。
イメージ内のSMB 1.0のサポートを無効にする必要があります。
どのコマンドを実行する必要がありますか？ 答えるには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択は1つの点で価値があります。

Answer:
Explanation:

Explanation

References:
https://docs.microsoft.com/en-us/windows-hardware/manufacture/desktop/enable-or-disable-windows-features-u

NEW QUESTION: 3
展示を参照してください。

すべてのルーティングが期待どおりに機能することが確認されています。ネットワーク管理者は、SSHを介してルーターR1にログインできません。問題を説明するステートメント
A. アクセスリスト110はVTYインターフェイスで正しい方向に適用されません。
B. アクセスリスト110は暗黙的に認証試行を拒否しています。
C. VTY 0-4のトランスポート入力コマンドは、telnetのみを許可しています。
D. access-groupコマンドはVTY回線で使用する必要があります。
Answer: C

NEW QUESTION: 4
The network administrator at an enterprise reported a large data leak. One compromised server was used to aggregate data from several critical application servers and send it out to the Internet using HTTPS. Upon investigation, there have been no user logins over the previous week and the endpoint protection software is not reporting any issues. Which of the following BEST provides insight into where the compromised server collected the information?
A. Review the flow data against each server's baseline communications profile.
B. Setup a packet capture on the firewall to collect all of the server communications.
C. Configure the server logs to collect unusual activity including failed logins and restarted services.
D. Correlate data loss prevention logs for anomalous communications from the server.
Answer: A
Explanation:
Network logging tools such as Syslog, DNS, NetFlow, behavior analytics, IP reputation, honeypots, and DLP solutions provide visibility into the entire infrastructure. This visibility is important because signature-based systems are no longer sufficient for identifying the advanced attacker that relies heavily on custom malware and zero-day exploits. Having knowledge of each host's communications, protocols, and traffic volumes as well as the content of the data in question is key to identifying zero-day and APT (advance persistent threat) malware and agents.
Data intelligence allows forensic analysis to identify anomalous or suspicious communications by comparing suspected traffic patterns against normal data communication behavioral baselines.
Automated network intelligence and next-generation live forensics provide insight into network events and rely on analytical decisions based on known vs. unknown behavior taking place within a corporate network.