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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
How does Terraform handle working with so many providers?
A. Terraform ships with all of the plugins embedded in the Terraform binary.
B. Terraform uses a plugin architecture for providers and only installs the provider plugins required by your configuration in a shared, system-wide plugins directory.
C. Terraform allows you to select the providers you want to support during the Terraform installation process.
D. Terraform uses a plugin architecture for providers and only installs the provider plugins required by your configuration in the configuration's working directory.
Answer: D
Explanation:
Terraform is built on a plugin-based architecture. All providers and provisioners that are used in Terraform configurations are plugins, even the core types such as AWS and Heroku. Users of Terraform are able to write new plugins in order to support new functionality in Terraform.
NEW QUESTION: 3
What is true of the API server on R80.10?
A. By default, the API server is active on management servers with 4 GB of RAM (or more) and on stand- alone servers with 8 GB of RAM (more)
B. By default the API server is active on management and stand-alone servers with 16GB of RAM (or more)
C. By default the API-server is activated and does not have hardware requirements
D. By default the API-server is not active and should be activated from the WebUI
Answer: A
Explanation:
Explanation/Reference:
Reference: https://sc1.checkpoint.com/documents/R80/APIs/#introduction%20
NEW QUESTION: 4
A. Option B
B. Option C
C. Option A
D. Option D
Answer: B