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NEW QUESTION: 1
You are designing a solution that uses drones to monitor remote locations for anomalies. The drones have Azure loT Edge devices. The solution must meet the following requirements:
*Email a user the picture and location of an anomaly when an anomaly is detected.
*Use a video stream to detect anomalies at the location.
*Send the pictures and location information to Azure.
*Use the least amount of code possible.
You develop a custom vision Azure Machine Learning module to detect the anomalies.
Which service should you use for each requirement? To answer, drag the appropriate services to the correct requirements. Each service 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
Box 1: Azure IOT Edge
Example:
You configure the Remote Monitoring solution to respond to anomalies detected by an IoT Edge device. IoT Edge devices let you process telemetry at the edge to reduce the volume of telemetry sent to the solution and to enable faster responses to events on devices.
Box 2: Azure Functions
Box 3: Azure Logic Apps
References:
https://docs.microsoft.com/en-us/azure/iot-accelerators/iot-accelerators-remote-monitoring-edge
NEW QUESTION: 2
Eine IT-Gruppe lehnt ein Projektergebnis unter Berufung auf die Nichteinhaltung bestehender Prozesse ab. Das Projektteam ist der Ansicht, dass eine Überarbeitung des Ergebnisses die Projektlieferung um drei Wochen verzögern würde. Was soll der Projektmanager tun?
A. Dokumentieren Sie die Ablehnung im Risikoregister und im Ausgabeprotokoll.
B. Eskalieren Sie das Problem an den Projektsponsor
C. Teilen Sie der IT-Gruppe die Auswirkungen der Nacharbeit mit.
D. Bitten Sie den IT-Manager, eine Ursachenanalyse des Problems durchzuführen.
Answer: A
NEW QUESTION: 3
Azure Synapse Analyticsでエンタープライズデータウェアハウスを管理します。
一般的に使用されるクエリを実行すると、ユーザーはパフォーマンスの低下を報告します。ユーザーは、使用頻度の低いクエリのパフォーマンスの変更を報告しません。
パフォーマンスの問題の原因を特定するには、リソース使用率を監視する必要があります。
どのメトリックを監視する必要がありますか？
A. Data Warehouse Units (DWU) used
B. Cache hit percentage
C. DWU limit
D. Data IO percentage
Answer: B
Explanation:
The Azure Synapse Analytics storage architecture automatically tiers your most frequently queried columnstore segments in a cache residing on NVMe based SSDs designed for Gen2 data warehouses. Greater performance is realized when your queries retrieve segments that are residing in the cache. You can monitor and troubleshoot slow query performance by determining whether your workload is optimally leveraging the Gen2 cache.
Note: As of November 2019, Azure SQL Data Warehouse is now Azure Synapse Analytics.
Reference:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-how-to-monitor-cache
https://docs.microsoft.com/bs-latn-ba/azure/sql-data-warehouse/sql-data-warehouse-concept-resource-utilization-query-activity