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NEW QUESTION: 1
Welches der folgenden Prinzipien verwendet Produktbeschreibungen, um Klarheit zu schaffen, indem Zweck, Zusammensetzung, Ableitung, Format, Qualitätskriterien und Qualitätsmethode jedes Produkts definiert werden?
A. Konzentrieren Sie sich auf Produkte
B. Fortsetzung der geschäftlichen Rechtfertigung
C. Anpassung an die Projektumgebung
D. Stufenweise verwalten
Answer: A
NEW QUESTION: 2
A. Option C
B. Option D
C. Option A
D. Option B
Answer: D
NEW QUESTION: 3
Which three statements are true about Cisco distribution switches? (Choose three.)
A. The Cisco Catalyst 3750 Series Switches are suitable for small site aggregation.
B. The Cisco Catalyst 4500 Series Switches are typically used at small branches.
C. The Cisco Catalyst 6500 Series Switches are suitable for collapsed core and distribution.
D. The Cisco Catalyst 4500 Series Switches are suitable for collapsed access and distribution.
E. The Cisco Catalyst 4500 and 6500 Series Switches both support borderless service modules and the Virtual Switching System (VSS).
Answer: A,C,D
NEW QUESTION: 4
企業のネットワーク管理者は、大量のデータ漏洩を報告しました。 1台の危険にさらされたサーバーが、いくつかの重要なアプリケーションサーバーからのデータを集約し、HTTPSを使用してインターネットに送信するために使用されました。調査の結果、先週はユーザーのログインはなく、エンドポイント保護ソフトウェアは問題を報告していません。次のBESTのどれが、侵入先のサーバーがどこで情報を収集したかについての洞察を提供しますか？
A. ファイアウォールでパケットキャプチャを設定して、すべてのサーバー通信を収集します。
B. サーバーからの異常な通信についてデータ損失防止ログを関連付けます。
C. ログインの失敗やサービスの再起動など、異常な活動を収集するようにサーバーログを設定します。
D. 各サーバーのベースライン通信プロファイルに対してフローデータを確認します。
Answer: D
Explanation:
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.