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NEW QUESTION: 1
The following sample code is NOT providing the desired results. The Digital Developer needs to add an entry to the logs to debug the problem.
Which statement correctly adds a log entry?
A. Logger.fault('Unable to find Apple Pay payment instrument for order.'+paymentlnstruments);
B. Logger.getErrorI_og().log('Unable to find Apple Pay payment instrument for order.'+paymentlnstruments);
C. Logger.exception('Unable to find Apple Pay payment instrument for order.'+paymentlnstruments);
D. Logger.error('Unable to find Apple Pay payment instrument for order.'+paymentlnstruments);
Answer: D
NEW QUESTION: 2
Amazon Elastic Map Reduceを使用してAmazon S3に保存されている大量のデータを分析する機能が必要です。 cc2 8xlargeインスタンスタイプを使用しています。このインスタンスタイプのCPUは、処理中はほとんどアイドル状態です。
次のうちどれが、ジョブの実行時間を短縮するための最も費用対効果の高い方法でしょうか。
A. Use smaller instances that have higher aggregate I/O performance.
B. Create more, smaller flies on Amazon S3.
C. Add additional cc2 8xlarge instances by introducing a task group.
D. Create fewer, larger files on Amazon S3.
Answer: A
NEW QUESTION: 3
デバイスが指定された場所から200メートル以上移動したときにユーザーに警告するリアルタイム監視アプリを作成する予定です。
計画したアプリのデータを処理するには、Azure Stream Analyticsジョブを設計する必要があります。 このソリューションでは、開発するコードの量と使用するテクノロジーの数を最小限に抑える必要があります。
Stream Analyticsジョブには何を含める必要がありますか? 回答するには、回答エリアで適切なオプションを選択します。
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。
Answer:
Explanation:
Explanation:
Input type: Stream
You can process real-time IoT data streams with Azure Stream Analytics.
Input source: Azure IoT Hub
In a real-world scenario, you could have hundreds of these sensors generating events as a stream. Ideally, a gateway device would run code to push these events to Azure Event Hubs or Azure IoT Hubs.
Function: Geospatial
With built-in geospatial functions, you can use Azure Stream Analytics to build applications for scenarios such as fleet management, ride sharing, connected cars, and asset tracking.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-get-started-with-azure-stream-analytics-to-process-data-from-iot-devices
https://docs.microsoft.com/en-us/azure/stream-analytics/geospatial-scenarios