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1.

You're tasked with deploying a machine learning model to an IoT Edge device. In this case, how could the process of quantization help your solution?

Quantization creates a larger model

Quantization creates a more compact model

Quantization creates a more accurate model

2.

The CIFAR-10 dataset contains sixty thousand 32x32 color images in the 10 classes. For this dataset to be used for classification, which criterion must be fulfilled?

CIFAR-10 must be very efficient

The class must have images of a different resolution in CIFAR-10

The class must exist in CIFAR-10

3.

Which of the following is possible due to the use of IoT Edge devices?

You can deploy a machine learning model on an IoT Edge device even when the device is offline

You can use an IoT Edge device to capture images

You can use an IoT Edge device to perform real-time processing

You must answer all questions before checking your work.

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