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NEW QUESTION: 1
DNSSEC was designed to overcome which security limitation of DNS?
A. DNS flood attacks
B. DNS man-in-the-middle attacks
C. DNS fragmentation attacks
D. DNS replay attacks
E. DNS hash attacks
F. DNS violation attacks
Answer: B
Explanation:
Securing the domain name system is integral to the security of the Internet infrastructure in whole. When properly maintained, DNSSEC signed zones provide extra security by preventing man-in-the-middle attacks. Any customer with DNSSEC-aware resolver will not be at risk from DNS spoofing. Customers that are not DNSSEC aware will not see any adverse effect. While they won't get the protection, they'll continue to access your domain name just as they always have. The more domain names that are using DNSSEC, the more websites and email addresses will be protected on the Internet.
: https://www.menandmice.com/resources/articles/dnssec/

NEW QUESTION: 2
指示：
コードセグメントを分析して、ポートスキャンスクリプトを完了するために必要なセクションを決定します。
適切な要素を正しい場所にドラッグして、スクリプトを完成させます。
シミュレーションの初期状態に戻したい場合は、いつでも[すべてリセット]ボタンをクリックしてください。
ペネトレーションテスト中に、ユーザーインターフェイスが制限されたシステムにアクセスできます。このマシンは、ポートスキャンを希望する隔離されたネットワークにアクセスできるようです。

Answer:
Explanation:

NEW QUESTION: 3
Google Compute Engine仮想マシンからGoogle BigQueryに接続するPythonスクリプトを作成します。
スクリプトは、BigQueryに接続できないエラーを出力しています。スクリプトを修正するにはどうすればよいですか？
A. BigQueryアクセススコープを有効にして、新しい仮想マシンでスクリプトを実行します
B. BigQueryアクセスで新しいサービスアカウントを作成し、そのユーザーでスクリプトを実行します
C. gcloud components install bqコマンドを使用して、gccloudのbqコンポーネントをインストールします。
D. Python用の最新のBigQuery APIクライアントライブラリをインストールします
Answer: D
Explanation:
説明
https://cloud.google.com/bigquery/docs/python-client-migration
BigQueryを使用するアプリケーションは、BigQuery APIが有効になっているGoogle Cloud Platform Consoleプロジェクトに関連付ける必要があります。
リファレンス：https://cloud.google.com/bigquery/create-simple-app-api

NEW QUESTION: 4

A. AGP
B. PCI-X
C. PCI
D. PCIe
Answer: D