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NEW QUESTION: 1
自動スケーリングインスタンスグループを設定して、今後の起動のためにWebトラフィックを提供します。インスタンスグループをHTTP（S）ロードバランサーへのバックエンドサービスとして構成すると、仮想マシン（VM）インスタンスが1分ごとに終了および再起動されることに気付きます。インスタンスにはパブリックIPアドレスがありません。
curlコマンドを使用して、各インスタンスから適切なWeb応答が送信されていることを確認しました。バックエンドが正しく構成されていることを確認したい。あなたは何をするべきか？
A. HTTP / HTTPSのソーストラフィックがロードバランサーに到達することを許可するファイアウォールルールが存在することを確認します。
B. 各インスタンスにパブリックIPを割り当て、ロードバランサーがインスタンスのパブリックIPに到達できるようにファイアウォールルールを構成します。
C. 各インスタンスにロードバランサーの名前を使用してタグを作成します。ロードバランサーの名前をソースとして、インスタンスタグを宛先としてファイアウォールルールを構成します。
D. ロードバランサーのヘルスチェックがインスタンスグループのインスタンスに到達できるようにするファイアウォールルールが存在することを確認します。
Answer: D
Explanation:
Explanation
https://cloud.google.com/vpc/docs/using-firewalls
The best practice when configuration a health check is to check health and serve traffic on the same port.
However, it is possible to perform health checks on one port, but serve traffic on another. If you do use two different ports, ensure that firewall rules and services running on instances are configured appropriately. If you run health checks and serve traffic on the same port, but decide to switch ports at some point, be sure to update both the backend service and the health check.
Backend services that do not have a valid global forwarding rule referencing it will not be health checked and will have no health status.
References: https://cloud.google.com/compute/docs/load-balancing/http/backend-service
NEW QUESTION: 2
The MOST important reason that statistical anomaly-based intrusion detection systems (slat IDSs) are less commonly used than signature-based IDSs, is that stat IDSs:
A. generate false alarms from varying user or system actions.
B. create more overhead than signature-based IDSs.
C. cannot detect new types of attacks.
D. cause false positives from minor changes to system variables.
Answer: A
Explanation:
Explanation
A statistical anomaly-based intrusion detection system (stat IDS) collects data from normal traffic and establishes a baseline. It then periodically samples the network activity based on statistical methods and compares samples to the baseline. When the activity is outside the baseline parameter (clipping level), the IDS notifies the administrator. The baseline variables can include a host's memory or central processing unit (CPU) usage, network packet types and packet quantities. If actions of the users or the systems on the network vary widely with periods of low activity and periods of frantic packet exchange, a stat IDS may not be suitable, as the dramatic swing from one level to another almost certainly will generate false alarms. This weakness will have the largest impact on the operation of the IT systems. Due to the nature of stat IDS operations (i.e., they must constantly attempt to match patterns of activity to the baseline parameters), a stat IDS requires much more overhead and processing than signature-based versions. Due to the nature of a stat IDS - based on statistics and comparing data with baseline parameters - this type of IDS may not detect minor changes to system variables and may generate many false positives. Choice D is incorrect; since the stat IDS can monitor multiple system variables, it can detect new types of variables by tracing for abnormal activity of any kind.
NEW QUESTION: 3
Which of the following interfaces can be invoked by the Outbound REST interface? (Multiple Choice)
A. InboundSOAP
B. InboundREST
C. JAVA
D. PageService
Answer: B,D
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