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NEW QUESTION: 1
What is the most critical characteristic of a biometric identifying system?
A. Storage requirements
B. Accuracy
C. Perceived intrusiveness
D. Reliability
Answer: B

NEW QUESTION: 2
会社には、受信メッセージを取り込むアプリケーションがあります。これらのメッセージは、他の数十のアプリケーションやマイクロサービスによってすぐに消費されます。メッセージの数は大幅に変化し、1秒あたり100.000もの急上昇することもあります。会社はソリューションを分離し、スケーラビリティを向上させたいと考えています。これらの要件を満たすソリューションはどれですか。
A. メッセージをAmazon Kinesis DataAnalyticsに永続化するすべてのアプリケーションがメッセージを読み取って処理します
B. AutoScalingグループのAmazonEC2インスタンスにアプリケーションをデプロイします。これにより、CPUメトリックに基づいてEC2インスタンスの数がスケーリングされます。
C. 1つ以上のAmazon Simple Queue Service（Amazon SQS）サブスクリプションを使用してAmazon Simple Notification Service（Amazon SNS）トピックにメッセージを公開します。その後、すべてのアプリケーションがキューからのメッセージを処理します
D. 単一のシャードでAmazon Kinesis DataStreamsにメッセージを書き込みます。すべてのアプリケーションはストリームから読み取り、メッセージを処理します。
Answer: D

NEW QUESTION: 3



A. Option A
B. Option B
Answer: A

NEW QUESTION: 4
会社には10か国に工場があります。各工場には数千のIoTデバイスが含まれています。
デバイスは、ダッシュボードにステータスとトレンドデータを表示します。
IoTデバイスからデータウェアハウスにデータを取り込む必要があります。
どちらのMicrosoft Azureテクノロジーを使用する必要がありますか？それぞれの正解はソリューションの一部を示しています。
注：それぞれの正しい選択には1ポイントの価値があります。
A. Azure HDInsightクラスター
B. Azure Stream Analytics
C. Azure Data Factory
D. Azure Batch
E. Azure Data Lake
Answer: B,E
Explanation:
Explanation
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-outputs