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NEW QUESTION: 1
Where are the conditions for the Conditional user interface functionality defined?
A. In the Database Configuration application
B. In the System Properties application
C. In the Conditional user interface application
D. In the Application Designer application
Answer: D
NEW QUESTION: 2
You have an Azure subscription that contains the resources shown in the following table.
In RG2, you need to create a new virtual machine named VM2 that will connect to VNET1. VM2 will use a network interface named VM2_Interface.
In which region should you create VM2 and VM2_Interface? To answer, drag the appropriate regions to the correct targets. Each region may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
VM2: West US
In RG2, which is in West US, you need to create a new virtual machine named VM2.
VM2_interface: East US
VM2 will use a network interface named VM2_Interface to connect to VNET1, which is in East US.
References:
https://docs.microsoft.com/en-us/azure/virtual-network/associate-public-ip-address-vm
NEW QUESTION: 3
Company XYZ has suffered leaks of internally distributed confidential documents. Ann the network security analyst has been tasked to track down the culprit. She has decided to embed a four letter string of characters in documents containing proprietary information.
Which of the following initial steps should Ann implement before sending documents?
A. Store one of the documents in a honey pot
B. Ask employees to report suspicious behaviors
C. Start antivirus scan on all the suspected computers
D. Add a signature to the NIDS containing the four letter string
Answer: D
NEW QUESTION: 4
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. 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。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ボリュームにビデオ、画像、フェイスカタログをコピーします。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。
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. 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. 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サポートする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。
Answer: D
Explanation:
Explanation
https://docs.aws.amazon.com/whitepapers/latest/file-gateway-hybrid-cloud-storage-architectures/file-gateway-ar