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Exam AI-100 topic 3 question 21 discussion

Actual exam question from Microsoft's AI-100
Question #: 21
Topic #: 3
[All AI-100 Questions]

You have Azure IoT Edge devices that collect measurements every 30 seconds.
You plan to send the measurements to an Azure IoT hub.
You need to process events in the cloud and account for missing data.
What should you use?

  • A. Apache Kafka
  • B. Azure Stream Analytics record functions
  • C. Azure Stream Analytics windowing functions
  • D. Azure Machine Learning on the IoT Edge devices
Show Suggested Answer Hide Answer
Suggested Answer: D 🗳️
Use Azure Notebooks to develop a machine learning module and deploy it to a Linux device running Azure IoT Edge.
You can use IoT Edge modules to deploy code that implements your business logic directly to your IoT Edge devices.
Use Clean Missing Data module in Azure Machine Learning to to remove, replace, or infer missing values.
Reference:
https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-machine-learning
by GParreiras at June 25, 2021, 1:17 a.m.

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rveney
2 years ago
To process events in the cloud and account for missing data from Azure IoT Edge devices, you should use option C: Azure Stream Analytics windowing functions. Azure Stream Analytics provides powerful real-time data processing capabilities in the Azure cloud. Windowing functions allow you to group and process data within specific time intervals or event counts. By using windowing functions, you can handle missing data by defining time windows and specifying how to handle data that falls within those windows.
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GParreiras
4 years ago
Same the question #16 - Aws: C
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Messatsu
3 years, 11 months ago
Question #16 mentions : "You need to ensure that every event is processed as quickly as possible." This question mentions : "You need to process events in the cloud and account for missing data."
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claudiapatricia777
3 years, 7 months ago
Yes because of that here the response is D -Azure Machine Learning on the IoT Edge devices (process in the cloud and account on missing data) and in question #16 the response is C - Azure Stream Analytics windowing functions ( process the data every 30 seconds when is received is the fastest way to do it)
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