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NEW QUESTION: 1
What does server-side Connect-Time Load Balancing do to complement the client-side Connect-Time Load Balancing function of balancing the connection requests to all the listeners in the address list on the client side?
A. it balances the load for each service across all preferred instances for that service, according to the service-specific load-balancing requirements,
B. it balances the load for each service across all preferred instances for all services, according to the service-specific load-balancing requirements,
C. it balances the load for each service across all available instances for that service, according to service-specific load-balancing requirements,
D. it balances the load for each service across all instances for that service, according to the service-specific load-balancing requirements,
E. it balances the load for each service across all preferred instances for that service, according to the global load-balancing requirements.
Answer: A
NEW QUESTION: 2
Welche Bedeutung hat der bewertete Kundenauftragsbestand? Es gibt 2 richtige Antworten auf diese Frage.
A. Kombinierter Mengen- und Wertefluss
B. Die Montagekosten werden ohne mehrstufige Serienfertigung angezeigt
C. Bietet eine Aufteilung der Kostenkomponenten für die Kosten der verkauften Waren.
D. Für diese Fertigungsaufträge können keine Abweichungen festgestellt werden
Answer: A,C
NEW QUESTION: 3
メディア会社には、デジタルニュースビデオの30TBのリポジトリがあります。これらのビデオは、オンプレミスのテープライブラリのテープに保存され、Media Asset Management（MAM）システムによって参照されます。同社は、これらのビデオのメタデータを自動化された方法で強化し、MAM機能を使用して検索可能なカタログに入れたいと考えています。会社は、オブジェクト、風景アイテム、人の顔など、ビデオ内の情報に基づいて検索できる必要があります。各人の画像を含むビデオに登場した人の顔を含むカタログが利用可能です。同社はこれらのビデオをAWSに移行したいと考えています。
同社はAWSと高速のAWSDirect Connect接続を持っており、MAMソリューションのビデオコンテンツを現在のファイルシステムから直接移動したいと考えています。
最小限の継続的な管理オーバーヘッドを使用し、既存のシステムに最小限の混乱を引き起こすことによって、これらの要件をどのように満たすことができますか？
A. オンプレミスのファイルゲートウェイアプライアンスであるAWS StorageGatewayをセットアップします。 MAMソリューションを使用して、現在のアーカイブからビデオを抽出し、ファイルゲートウェイにプッシュします。顔のカタログを使用して、AmazonRekognitionでコレクションを構築します。 Rekognition JavascriptSDKを呼び出すAWSLambda関数をビルドして、RekognitionがファイルゲートウェイをバックアップするAmazon S3ファイルからビデオをプルし、必要なメタデータを取得して、メタデータをMAMソリューションにプッシュするようにします。
B. Amazon Kinesis VideoStreamsを使用してビデオ取り込みストリームを設定します。顔のカタログを使用して、AmazonRekognitionでコレクションを構築します。 MAMソリューションからKinesisVideoStreamsにビデオをストリーミングします。ストリーミングされたビデオを処理するようにAmazonRekognitionを設定します。次に、ストリームコンシューマーを使用して必要なメタデータを取得し、メタデータをMAMソリューションにプッシュします。 AmazonS3にビデオを保存するようにストリームを設定します。
C. OpenCVライブラリを実行するAmazonEC2インスタンスをセットアップします。ビデオ、画像、フェイスカタログをオンプレミスライブラリからこのEC2インスタンスにマウントされたAmazonEBSボリュームにコピーします。ビデオを処理して必要なメタデータを取得し、メタデータをMAMソリューションにプッシュすると同時に、ビデオファイルをAmazonS3バケットにコピーします。
https://docs.aws.amazon.com/rekognition/latest/dg/streaming-video.html
D. オンプレミスにAWS Storage Gateway、テープゲートウェイアプライアンスをセットアップします。 MAMソリューションを使用して、現在のアーカイブからビデオを抽出し、テープゲートウェイにプッシュします。顔のカタログを使用して、AmazonRekognitionでコレクションを構築します。 Rekognition JavascriptSDKを呼び出すAWSLambda関数をビルドして、Amazon Rekognitionにテープゲートウェイのビデオを処理させ、必要なメタデータを取得して、メタデータをMAMソリューションにプッシュします。
Answer: B