Exam AI-100 topic 1 question 28 discussion

Actual exam question from Microsoft's AI-100

Question #: 28
Topic #: 1

You plan to deploy Azure IoT Edge devices that will each store more than 10,000 images locally and classify the images by using a Custom Vision Service classifier.
Each image is approximately 5 MB.
You need to ensure that the images persist on the devices for 14 days.
What should you use?

A. The device cache
B. Azure Blob storage on the IoT Edge devices
C. Azure Stream Analytics on the IoT Esge devices
D. Microsoft SQL Server on the IoT Edge devices

Show Suggested Answer

Suggested Answer: B 🗳️
References:
https://docs.microsoft.com/en-us/azure/iot-edge/how-to-store-data-blob

by aalok87 at July 20, 2020, 6:35 a.m.

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rveney

1 year, 12 months ago

Azure Blob storage on the IoT Edge devices (option B) is the recommended solution to store the images locally for 14 days, considering its scalability, durability, and suitability for large unstructured data such as images.

upvoted 1 times

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aalok87

4 years, 11 months ago

why not Azure stream analytics which moves data from iot hub to blob storage

upvoted 1 times

Arinze

4 years, 10 months ago

Because of the requirement for persistence the answer is Blob

upvoted 7 times

Cornholioz

4 years, 4 months ago

Correct. Additionally, ASA is not native to the IoT Edge device whereas Storage can be. ASA can only reduce the amount of uploaded data to reduce time for actions. Check the diagram in this tutorial to ascertain why ASA is not the answer. https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-stream-analytics?view=iotedge-2018-06 The device cache is not an answer either given the image size times no. of images.

upvoted 2 times

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