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NEW QUESTION: 1
A company develops a moisture sensor that integrates with Azure. You are designing a solution that collects data from the sensor devices and analyzes the data.
You need to design the architecture for the solution.
Which technology should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point
Answer:
Explanation:
Explanation
Box 1: Azure IoT Edge
Azure IoT Edge is made up of three components:
IoT Edge modules are containers that run Azure services, 3rd party services, or your own code. They are deployed to IoT Edge devices and execute locally on those devices.
The IoT Edge runtime runs on each IoT Edge device and manages the modules deployed to each device.
A cloud-based interface enables you to remotely monitor and manage IoT Edge devices.
Box 2: Azure Stream Analytics
Azure Stream Analytics on IoT Edge empowers developers to deploy near-real-time analytical intelligence closer to IoT devices so that they can unlock the full value of device-generated data.
With Azure Streaming Analytics (ASA) on IoT Edge, enterprises benefit from running Complex Event Processing (CEP) closer to where the data is produced. For example, manufacturing safety systems are required to respond to operational data with ultra-low latency. With ASA on IoT Edge, you can analyze sensor data in near real time and issue commands when you detect anomalies to stop a machine or trigger alerts.
Box 3: Azure IoT Hub
IoT Hub is a managed service, hosted in the cloud, that acts as a central message hub for bi-directional communication between your IoT application and the devices it manages. You can use Azure IoT Hub to build IoT solutions with reliable and secure communications between millions of IoT devices and a cloud-hosted solution backend. You can connect virtually any device to IoT Hub.
Reference:
https://docs.microsoft.com/en-us/azure/iot-edge/about-iot-edge
https://azure.microsoft.com/en-us/blog/azure-stream-analytics-now-available-on-iot-edge/
https://docs.microsoft.com/en-us/azure/iot-hub/about-iot-hub
NEW QUESTION: 2
4 개의 500GB EBS 프로비저닝 된 IOPS 볼륨이 연결된 EC2 인스턴스를 시작했습니다. EC2 인스턴스는 EBS 최적화되어 있으며 EC2와 EBS 간의 500Mbps 처리량을 지원합니다. 4 개의 EBS 볼륨은 단일 RAID 0 디바이스로 구성되며, 각 프로비저닝 된 IOPS 볼륨에는 인스턴스에서 총 16,000 개의 임의 IOPS에 대해 4,000 IOPS (4,000 16KB 읽기 또는 쓰기)가 프로비저닝됩니다. EC2 인스턴스는 처음에 예상되는 16,000 IOPS 임의 읽기 및 쓰기 성능을 제공합니다. 나중에 인스턴스의 총 랜덤 I / O 성능을 높이기 위해 RAID에 500GB EBS 프로비저닝 IOPS 볼륨 2 개를 추가로 추가합니다. 각 볼륨은 EC4 인스턴스에서 총 24,000 IOPS를 위해 원래 4 개와 같은 4,000 개의 IOP로 프로비저닝됩니다. 모니터링 결과 EC2 인스턴스 CPU 사용률이 50 %에서
70 %이지만 인스턴스 수준에서 측정 된 총 임의 IOPS는 전혀 증가하지 않습니다.
문제와 유효한 해결책은 무엇입니까?
A. EBS 최적화 처리량은 사용할 수있는 총 IOPS를 제한합니다. 더 큰 처리량을 제공하는 EBSOptimized 인스턴스를 사용하십시오.
B. 더 큰 스토리지 볼륨은 더 높은 프로비저닝 된 IOPS 속도를 지원합니다. 6 개의 EBS 볼륨 각각의 프로비저닝 된 볼륨 스토리지를 1TB로 늘립니다.
C. 표준 EBS 인스턴스 루트 볼륨은 총 IOPS 속도를 제한합니다. 인스턴스 루트 볼륨도 500GB 4,000 프로비저닝 된 IOPS 볼륨으로 변경하십시오.
D. 작은 블록 크기는 성능 저하를 유발하여 I / O 처리량을 제한합니다. 처리량을 늘리기 위해 64KB 블록을 사용하도록 인스턴스 디바이스 드라이버 및 파일 시스템을 구성하십시오.
E. RAID 0은 약 4 개의 장치로만 선형 확장됩니다. 4 개의 EBS 프로비저닝 된 IOPS 볼륨에 RAID 0을 사용하지만 각 프로비저닝 된 IOPS EBS 볼륨을 6,000 IOPS로 늘리십시오.
Answer: C
Explanation:
Explanation
https://aws.amazon.com/sqs/faqs/
NEW QUESTION: 3
新しい公衆交換電話網(PSTN)接続に必要な回線数を決定する必要があります。
各場所には何本の線が必要ですか? 答えるには、適切な数の行を正しい場所にドラッグします。 各番号は1回、複数回、またはまったく使用されません。 さらに、分割バーをペインの間にドラッグするか、スクロールしてコンテンツを表示する必要があります。
Answer:
Explanation:
Explanation