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NEW QUESTION: 1
Which two statements are true for Predictive DRS? (Choose two.)
A. It balances resource utilization based on a threshold's algorithm that runs each night.
B. It balances resource utilization for virtual machines with unpredictable utilization patterns.
C. It integrates DRS with vRealize Operations Manager to balance workloads for virtual machines before resource utilization spikes occur.
D. It determines the best placement and balance of virtual machines based on a threshold's algorithm that runs each night in vCenter Server 6.5 Database.
Answer: A,C
Explanation:
Explanation/Reference:
Explanation:
Predictive DRS using a combination of DRS and vRealize Operations Manager to predict future demand and determine when and where hot spots will occur. When future hot spots are found, Predictive DRS moves the workloads long before any contention can occur.
Each night it runs its Dynamic Threshold calculations which uses sophisticated analytics to create a band of what is "normal" for each metric/object combination Reference:
https://blogs.vmware.com/management/2016/11/predictive-drs.html

NEW QUESTION: 2
スプレッドシートは、プロジェクトのコスト見積もりを計算するために使用されます。次に、各コストカテゴリの合計が、個別原価計算システムに入力されます。データがシステムに正確に入力されるようにするためのBISTコントロールとは何ですか？
A. 入力後にプロジェクト詳細の裏側を表示
B. 各コストタイプの合理性チェック
C. 文字データの入力を防ぐ有効性チェック
D. プロジェクトごとの調整合計金額
Answer: D

NEW QUESTION: 3
AzureIoTハブに接続する1,000台のデバイスがあります。
一部のデバイスがIoTハブにデータを送信できないことがわかりました。
AzureMonitorを使用してデバイスの接続の問題をトラブルシューティングできることを確認する必要があります。
どの2つのアクションを実行する必要がありますか？それぞれの正解は、解決策の一部を示しています。
注：正しい選択はそれぞれ1ポイントの価値があります。
A. DeviceTelemetry、Connections、およびRoutesログを収集します。
B. すべてのメトリックを収集します。
C. JobsOperations、DeviceStreams、およびFileUploadOperationsログを収集します。
D. IoTハブの診断設定から、[ストレージアカウントにアーカイブ]を選択します。
E. IoTハブの[診断]設定から、[ログ分析に送信]を選択します。
Answer: A,E
Explanation:
The IoT Hub resource logs connections category emits operations and errors having to do with device connections. The following screenshot shows a diagnostic setting to route these logs to a Log Analytics workspace:

Note: Azure Monitor: Route connection events to logs:
IoT hub continuously emits resource logs for several categories of operations. To collect this log data, though, you need to create a diagnostic setting to route it to a destination where it can be analyzed or archived. One such destination is Azure Monitor Logs via a Log Analytics workspace, where you can analyze the data using Kusto queries.
Reference:
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-troubleshoot-connectivity

NEW QUESTION: 4
회사는 AWS KMS (Key Management Service)를 사용하여 Amazon RDS 데이터베이스를 보호합니다. 감사인은 회사에서 AWS KMS 키의 모든 사용을 기록하도록 권장했습니다.
가장 단순한 솔루션은 무엇입니까?
A. RDS 인스턴스에 모니터링 에이전트 배포
B. Amazon CloudWatch와 AWS KMS 메트릭 연결
C. 예약 된 작업을 주기적으로 AWS KMS에 제출하십시오.
D. AWS CloudTrail을 사용하여 AWS KMS 키 사용을 기록합니다.
Answer: D