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NEW QUESTION: 1
You want to specify Intercompany System Options. Which three factors should you consider? (Choose three.)
A. automatic or manual batch numbering and the maximum transaction amount
B. whether to allow receivers to reject intercompany transactions
C. the approvers who will approve intercompany transactions
D. automatic or manual batch numbering and the minimum transaction amount
E. whether to enforce an enterprise-wide currency or allow intercompany transactions in local currencies
Answer: B,D,E
NEW QUESTION: 2
다음 표에 나와있는 리소스가 포함 된 Subscription1이라는 Azure 구독이 있습니다.
다음 표에 표시된대로 Subscription1에서 가상 머신을 생성합니다.
Vault1을 최대한 많은 가상 머신 백업에 사용할 계획입니다.
Vault1에 백업 할 수있는 가상 머신은 무엇입니까?
A. VM1 only
B. VM1, VM2, VM3, VMA, VMB, and VMC
C. VM1 and VM3 only
D. VM1, VM3, VMA, and VMC only
E. VM3 and VMC only
Answer: D
Explanation:
설명
가상 머신을 보호하기 위해 볼트를 생성하려면 볼트가 가상 머신과 동일한 리전에 있어야합니다. 여러 리전에 가상 머신이 있는 경우 각 리전에 복구 서비스 저장소를 작성하십시오.
참고 문헌 :
https://docs.microsoft.com/bs-cyrl-ba/azure/backup/backup-create-rs-vault
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. 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。
B. 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。
C. 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。
D. 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
Answer: A