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NEW QUESTION: 1
A. Option D
B. Option B
C. Option C
D. Option A
Answer: A
NEW QUESTION: 2
A. Option D
B. Option B
C. Option C
D. Option A
Answer: A
NEW QUESTION: 3
A. Option A
B. Option B
Answer: A
Explanation:
References: https://blogs.technet.microsoft.com/mempson/2007/11/08/how-to-find-out- who-has-your-fsmo-roles/
NEW QUESTION: 4
会社には、イベントの永続化のためにPostgreSQLデータベースを使用するオンプレミス監視ソリューションがあります。
大量の取り込みのためにデータベースをスケーリングできず、ストレージが不足することがよくあります。
同社はハイブリッドソリューションを作成したいと考えており、すでにネットワークとAWSの間にVPN接続を設定しています。ソリューションには次の属性を含める必要があります。
*運用の複雑さを最小限に抑えるためのAWSサービスの管理。
*データのスループットに合わせて自動的にスケーリングするバッファーで、継続的な管理は必要ありません。
*ほぼリアルタイムでイベントを観察するためのダッシュボードを作成する視覚化ツール。
*半構造化JSONデータと動的スキーマのサポート。
これらの要件を満たす監視ソリューションを企業が作成できるようにするコンポーネントの組み合わせはどれですか。 （2つ選択してください。）
A. イベントをバッファリングするためのAmazon Kinesisデータストリームを作成します。イベントを処理および変換するAWS Lambda関数を作成します。
B. イベントを受信するようにAmazon Elasticsearch Service（Amazon ES）を構成します。 Amazon ESでデプロイされたKibanaエンドポイントを使用して、ほぼリアルタイムの視覚化とダッシュボードを作成します。
C. イベントを受信するようにAmazon Aurora PostgreSQL DBクラスターを構成します。 Amazon QuickSightを使用してデータベースから読み取り、ほぼリアルタイムの視覚化とダッシュボードを作成します。
D. Amazon Kinesis Data Firehoseを使用してイベントをバッファリングします。イベントを処理および変換するAWS Lambda関数を作成します。
E. イベントを受信するようにAmazon Neptune DBインスタンスを構成します。 Amazon QuickSightを使用してデータベースから読み取り、ほぼリアルタイムの視覚化とダッシュボードを作成します。
Answer: A,E