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NEW QUESTION 22
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure IoT solution that includes an Azure IoT hub, a Device Provisioning Service instance, and
1,000 connected IoT devices.
All the IoT devices are provisioned automatically by using one enrollment group.
You need to temporarily disable the IoT devices from the connecting to the IoT hub.
Solution: You delete the enrollment group from the Device Provisioning Service.
Does the solution meet the goal?
- A. No
- B. Yes
Answer: A
Explanation:
Instead, from the Device Provisioning Service, you disable the enrollment group, and you disable device entries in the identity registry of the IoT hub to which the IoT devices are provisioned.
Reference:
https://docs.microsoft.com/bs-latn-ba/azure/iot-dps/how-to-unprovision-devices
NEW QUESTION 23
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have 20 IoT devices deployed across two floors of a building. The devices on the first floor must be set to
60 degrees. The devices on the second floor must be set to 80 degrees.
The device twins are configured to use a tag that identifies the floor on which the twins are located.
You create the following automatic configuration for the devices on the first floor.
You create the following automatic configuration for the devices on the second floor.
The IoT devices on the first floor report that the temperature is set to 80 degrees.
You need to ensure that the first-floor devices are set to the correct temperature.
Solution: In the automatic configuration for the second-floor devices, you set Version to 2.
Does this meet the goal?
- A. No
- B. Yes
Answer: A
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/iot-edge/module-deployment-monitoring?view=iotedge-2020-11
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-automatic-device-management-cli
NEW QUESTION 24
You have the devices shown in the following table.
You are implementing a proof of concept (POC) for an Azure IoT solution.
You need to deploy an Azure IoT Edge device as part of the POC.
On which two devices can you deploy IOT Edge? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
- A. Device3
- B. Device4
- C. Device2
- D. Device1
Answer: A,C
Explanation:
Azure IoT Edge runs great on devices as small as a Raspberry Pi3 to server grade hardware.
Tier 1.
The systems listed in the following table are supported by Microsoft, either generally available or in public preview, and are tested with each new release.
Reference:
https://docs.microsoft.com/en-us/azure/iot-edge/support
NEW QUESTION 25
How should you complete the GROUP BY clause to meet the Streaming Analytics requirements?
- A. GROUP BY HoppingWindow(Second, 60, 30)
- B. GROUP BY SlidingWindow(Second, 30)
- C. GROUP BY SessionWindow(Second, 30, 60)
- D. GROUP BY TumblingWindow(Second, 30)
Answer: D
Explanation:
Scenario: You plan to use a 30-second period to calculate the average temperature reading of the sensors.
Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.
InAnswers:
A: Hopping window functions hop forward in time by a fixed period. It may be easy to think of them as Tumbling windows that can overlap, so events can belong to more than one Hopping window result set.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions
NEW QUESTION 26
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